AI Deployment Engineer | OpenAI

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digi…

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (P-ADE) and play a pivotal role in driving technical execution with our partners throughout EMEA. Your main objective will be to facilitate the scaling of customer deployments leveraging the robust OpenAI platform. This position encompasses a diverse array of customer use cases, focusing on the design, implementation, and enhancement of production-grade AI solutions delivered via our partners.In this position, you will collaborate closely with partner delivery teams, Solutions Engineers (SEs), Forward Deployed Engineers (FDEs), and fellow ADEs to guide customer projects from initial design stages to stable, scalable production environments. Your contributions will expedite the realization of value, mitigate delivery risks, and ensure all solutions adhere to OpenAI’s stringent standards for quality, safety, and reliability. Engage with Go-To-Market (GTM), Applied, and Research teams to foster partner-driven enterprise adoption.This position is available in either Paris or Munich, utilizing a hybrid work model of three in-office days each week, with relocation assistance provided for new team members.Your Responsibilities:Serve as the primary technical delivery partner for OpenAI's partners across EMEA, facilitating customer deployments across various industries and use cases.Partner with delivery teams and customer stakeholders to transform solution designs into deployable, production-ready architectures on the OpenAI platform.Enhance customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical delivery phases.Work collaboratively with SEs, FDEs, and other ADEs to ensure appropriate technical expertise is engaged throughout the design and production rollout phases.Assist partners in operationalizing solutions, addressing scalability, reliability, security, and safety considerations essential for enterprise production environments.Contribute to the development of reusable deployment patterns, reference architectures, and delivery guidelines that promote efficient execution across partner engagements.Act as a technical quality and governance checkpoint during deployments, ensuring solutions meet OpenAI’s standards and best practices pre- and post-launch.Gather and synthesize feedback from real-world customer deployments, sharing insights with Applied, Research, and partner teams to refine delivery playbooks and enhance platform capabilities.Ideal Candidate:Possess a minimum of 8 years of relevant experience in technology deployment, engineering, or a related field.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (ADE) and take charge of our senior technical collaborations with renowned firms such as McKinsey, BCG, and Bain on a global scale. In this pivotal position, you will serve as the key technical liaison for MBB advisory partners, guiding complex enterprise proposals and transformation initiatives to ensure that OpenAI’s platform is strategically positioned, designed, and implemented to align with executive-level AI objectives.This role is uniquely situated at the convergence of strategy, architecture, and execution. You will collaborate closely with MBB partners and principals to translate high-level executive strategies into scalable, production-ready AI solutions leveraging the OpenAI platform. Your responsibilities will span various industries and projects, where you will shape solution direction, inform architectural choices, and coordinate seamless delivery between OpenAI and partner teams.This position is available in Munich or Dublin, operating under a hybrid work model that allows for three days in-office each week. We also provide relocation assistance for new hires.Key Responsibilities:Serve as the senior technical representative for McKinsey, BCG, and Bain in high-priority enterprise initiatives and transformation programs.Act as the primary technical liaison with MBB Partners and Principals during proposal development and client engagements.Translate board-level AI strategies into actionable technical architectures, delivery plans, and platform roadmaps.Provide architectural guidance across multiple concurrent programs, ensuring consistency, quality, and alignment with OpenAI standards.Coordinate ADEs and Forward Deployed Engineers (FDEs) across MBB-led projects, engaging the right expertise at each phase.Guide partners and clients through critical decisions regarding platform design, scalability, governance, safety, and reliability.Assist in developing repeatable industry solutions and transformation patterns utilizing the OpenAI platform.Act as a technical escalation point during complex or high-risk delivery phases to mitigate execution risks.Represent MBB partners internally, synthesizing insights from large-scale programs into actionable feedback for Product and Research teams.You Will Succeed in This Role If You:Have experience in a highly technical role at McKinsey, BCG, or Bain.

About UsAt Supermodular AI, we empower enterprises to successfully undergo AI transformation. Our philosophy is rooted in the belief that strategic insights are best realized through practical execution.While many organizations recognize the transformative potential of AI, they often face challenges in translating that vision into substantive operational changes. The hurdles typically lie not within the technology itself, but in integrating AI into intricate systems and workflows that have been developed over time. We assert that AI transformation cannot be purely theoretical; true strategy is forged through the actual building, deployment, and operation of AI systems within the organization.Our approach involves direct collaboration with enterprise IT and software teams to architect and implement AI systems in real-world settings. This includes facilitating engineering teams to adopt innovative AI-native development practices, frameworks, and technical resources that redefine software development and operations. Additionally, we create tailored AI systems that address complex modernization challenges that conventional strategies have failed to overcome.Our team boasts a robust history of devising impactful AI systems and enhancing engineering capabilities within complex enterprise environments. If you thrive on tackling challenging enterprise problems and transforming ambitious concepts into functioning systems, Supermodular AI is the place for you.Your RoleAs a Senior Deployment Strategist at Supermodular AI, you will be at the forefront of driving AI transformation within large enterprises.In this pivotal role, you will engage with enterprise leaders, engineers, and operators to gain insights into their current systems and workflows, identify opportunities for meaningful AI integration, and spearhead initiatives that propel the organization forward.You will collaborate closely with an AI Product Manager, forming a dynamic leadership duo for each project. Together, you will identify critical problems to address and define the desired outcomes.Taking ownership of the technical design of AI solutions, you will lead the execution process, working alongside Forward Deployed Software Engineers to ensure our systems perform reliably in actual enterprise environments.This position is ideal for individuals who are adept at navigating ambiguous scenarios, bridging AI capabilities with organizational realities, and leading intricate transformation efforts in large organizations.

About UsWe are fonio.ai – an AI-driven telephone solution that mimics human conversation and manages complete calls autonomously. Since our inception just over a year ago, more than 6,000 companies have placed their trust in us.To ensure fonio operates seamlessly for our clients, we require individuals who can swiftly grasp business needs and translate them into effective setups: integrations, workflows, logic, prompts, data flows, and edge cases.We are looking for a Forward Deployment Engineer who understands AI systems, thinks through workflows, and possesses solid coding skills - pragmatic, quick, and reliable.Your RoleYou will serve as the technical link between our product and customer setups. You will capture requirements, translate them into robust implementations, and ensure fonio goes live for our clients – including integrations, automations, and continuous optimizations.You will collaborate closely with product, engineering, and go-to-market teams to ensure that deployments are rapid, stable, and repeatable.Your ResponsibilitiesCapture and structure customer requirements, translating them into clear implementation plans.Establish and roll out fonio setups in production (workflows, logic, data flows, prompts, guardrails).Implement integrations with third-party systems (APIs, webhooks, CRM, calendars, ticketing, payments, etc.).Develop small to medium features/glue code to accurately represent customer cases (including tests/monitoring/logging).Perform real-time debugging of calls, flows, data, and edge cases – providing quick fixes under production conditions.Standardization: create reusable templates, best practices, and deployment playbooks to make setups scalable.Provide feedback to the product team regarding pain points, feature gaps, and recurring patterns – prioritized and concrete.What Awaits YouOwnership in deployment: you will be directly responsible for ensuring setups work for our clients.Immediate, visible impact: your work will be measurable in live phone calls.Proximity to the product: you will actively influence what gets built based on real requirements.Variety: from AI logic to customer workflows, every day will be different.

At Mistral AI, we harness the transformative power of artificial intelligence to streamline workflows, enhance productivity, and foster creativity. Our cutting-edge solutions are designed to seamlessly integrate into everyday operations, empowering users across various sectors. We are committed to democratizing AI through high-performance, open-source models and solutions tailored for enterprises, whether on-premises or in the cloud. Our flagship product, le Chat, serves as an intelligent assistant for both personal and professional use. We pride ourselves on our vibrant and collaborative culture, where a diverse team of innovators is united in their passion for AI's potential to revolutionize society. Our workforce spans multiple countries, including France, the USA, the UK, Germany, and Singapore, fostering creativity and teamwork in a competitive landscape. Join us at Mistral, where we are shaping the future of AI and making a meaningful impact together. Learn more about our culture at [Mistral Careers](https://mistral.ai/careers). As an AI Deployment Strategist, you will lead the charge in promoting and implementing Mistral's AI solutions, collaborating closely with clients to transition from strategic vision to practical execution. This pivotal role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring that our customers achieve significant and transformative results. You will engage with senior leaders to formulate AI roadmaps, partner with our Applied AI team to implement production solutions, and facilitate smooth transitions from presales to postsales. Your contributions will be crucial in driving customer success, effectively bridging the gap between strategy and execution. This position is perfect for individuals who excel in fast-paced environments, relish solving complex business challenges, and are enthusiastic about leveraging AI to create tangible impact.

Role overview Nice Systems Ltd. is looking for a Forward Deployment Engineer to join the team remotely in Germany. This role centers on deploying solutions for clients and guiding them through both the implementation and optimization stages. What you will do Collaborate directly with clients to implement Nice Systems products Provide ongoing support after deployment to help clients get the most from the products Use technical expertise to address client challenges and enhance the overall user experience Location This position is remote and open to candidates based in Germany.

Location: Berlin (Hybrid) Travel: ~25%Your Mission:At Parloa, we are dedicated to revolutionizing the way individuals connect with businesses, ensuring every interaction is seamless, personalized, and human-like. Our AI Agent Management Platform empowers organizations to efficiently create and oversee AI voice and chat agents at scale, transforming interactions into enduring relationships.As a Deployment Strategist, you will spearhead AI transformation initiatives at Global 2000 enterprises, serving as the “Field CPO” for Parloa’s most significant customers. You will bridge the gap between customer success and product capabilities, translating business challenges into actionable solutions for high-profile clients such as Booking.com, Allianz, Decathlon, and TUI.This role presents a unique opportunity to shape a new industry. Agentic AI for enterprises is still in its early stages. You will define excellence—working closely with demanding customers to tackle complex challenges.In This Role You Will:Secure major clients (Global 2000 with intricate, unique needs) and guarantee their AI transformation is effective.Engage with stakeholders across business and technology (CEO, COO, CIO, CTO, VP Support), managing deployment from the value proposition through to production and expansion.Translate customer expectations into product features that are reusable and beneficial across the platform.Develop prototypes, implement product modifications, and create actionable business plans—prioritizing execution over presentations.Act as a liaison between customers and the Parloa Product team, representing both perspectives.Navigate the complexities of agentic AI workflows, ROI models, and change management in uncharted territories.Facilitate challenging discussions: managing trade-offs, timelines, and scope adjustments with strategic accounts.Exert influence across Product, Engineering, Sales, and Customer Success to achieve outcomes without direct authority.Contribute validated insights to the product roadmap, transforming customer engagements into platform features that enhance overall value.

About ZauberAt Zauber, we are pioneering the future of global logistics. After successfully co-founding Forto and securing over $600M in funding, we've identified a critical need for innovation in an industry still mired in outdated, manual processes. By leveraging the power of AI, we are transforming logistics through autonomous agents that streamline operations and enhance communication between systems and individuals. We are collaborating with leading logistics providers across Europe and Asia Supported by premier early-stage venture capital and a team of experts from Deepmind, Loveable, Parloa, Sierra, and others Rapidly expanding and seeking talented individuals to join our missionWe are currently searching for a skilled Agent Deployment Manager to play a pivotal role in shaping and executing the next generation of AI-driven logistics solutions. What You'll DoIn this influential role, you will oversee the entire deployment lifecycle of Zauber's AI agents with global freight forwarding partners, transforming contractual agreements into operational systems that yield tangible business results. You will have significant autonomy in defining how we implement, integrate, and scale our AI agents within complex enterprise environments. Each deployment you spearhead will lay the groundwork for onboarding hundreds of customers in the future.Manage the end-to-end deployment process for enterprise clients, from initial kickoff through to go-live, hypercare, and large-scale roll-out and use-case expansionEngage directly with client stakeholders in operations, IT, and business units to map workflows, configure agents, and foster user adoptionCollaborate closely with engineering and product teams to resolve technical challenges, coordinate system integrations, and relay client feedback to enhance our product offeringsContribute to refining deployment playbooks, escalation protocols, and operational readiness, including creating repeatable processes, templates, and best practices that facilitate scaling while reducing deployment timelines and accelerating time-to-valueLead change management initiatives and operator training to transform skeptical users into advocates who trust and depend on our AI agents You Might Be a Great Fit If You...Possess 2+ years of experience in implementation, deployment, or project management within technology or logistics sectors, with a strong emphasis on customer successHave a proven track record of managing complex projects and driving stakeholder engagementDemonstrate exceptional problem-solving skills and technical aptitude, with the ability to think strategically and execute tacticallyExhibit outstanding communication and interpersonal skills, capable of engaging diverse audiences and fostering collaborative environmentsPossess a passion for technology and innovation, especially in applying AI to real-world challenges

Join Our Team as a DevOps Engineer!Full-time | Munich | Seed Stage | Equity + SalaryHelp Us Build a Generational CompanyAt Knowlix, we are dedicated to amplifying the productivity of small businesses. Our goal is to establish ourselves as the leading platform for human-AI and AI-to-AI collaboration.Though we are still in the early stages, our vision is expansive. This is a unique opportunity for you to influence a product that will serve millions and redefine an industry.We prioritize speed, frequent shipping, and a commitment to quality. If you are passionate about building, deploying, and scaling innovative solutions with AI, we invite you to join us.Why Choose Knowlix Now?Well-funded seed-stage startup with top-tier investors and seasoned founders.Proven technology with early users experiencing the initial magic.Targeting a substantial market with a transformative product.Be among the first team members, with significant influence and ownership in the company's direction.We believe that speed is a product of focus and iteration.This is more than a job; it's your chance to contribute to a once-in-a-generation company.The RoleIn this position, you will architect, maintain, and enhance our DevOps pipelines utilizing Bitbucket Pipelines and AWS CodePipeline, CodeBuild, and CodeArtifact. You'll design modular pipeline-as-code workflows with reusable YAML configurations and deploy advanced strategies like canary and blue-green deployments. Collaborating closely with product and engineering teams, you will facilitate progressive delivery through feature toggles and automated rollback triggers.

With over 20 years of innovation, Smartsheet empowers teams to accomplish anything—from streamlined work management to intelligent, scalable solutions. We are dedicated to creating tools that help teams automate tedious tasks, uncover valuable insights, and work more efficiently. Our mission is to create an environment where big ideas can flourish, action can be taken, and meaningful work is achieved. Join us to experience the magic that happens when challenges meet purpose and passion transforms into progress.Role OverviewAs a Senior Forward Deployed AI Engineer, you will take the lead on Smartsheet's most intricate AI deployments, managing the entire engagement lifecycle from technical discovery to production deployment and organization handoff. You will be responsible for architecting multi-agent solutions, designing tailored MCP resource packs, and developing Deployment Kits that revolutionize the operations of over 200 solutions consultants and partners. Your role will involve mentoring junior engineers, driving the intelligence loop, and presenting insights at weekly Applied AI strategy sessions. You will be establishing a critical function within the organization.

Join Mindrift as an AI Workflow Engineer and contribute to the Tendem project. We are developing cutting-edge intelligent automation systems powered by large language models (LLMs) in a hybrid AI + human environment.In this role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents to streamline repetitive tasks. Your structured thinking, prompt engineering expertise, and commitment to quality control will be critical in delivering scalable, reliable AI-driven workflows.This part-time remote position is ideal for professionals with practical experience in LLM integrations, prompt design, and AI-powered automation systems.

Anyone AI is seeking experienced software engineers in Germany for a part-time, project-based role supporting a leading AI research lab. This position centers on expert evaluation and allows for fully remote work within Germany. Key responsibilities Design and complete multi-file coding tasks, such as bug fixes, new features, refactoring, and testing Write detailed specifications in natural language and supply reference implementations Develop and enhance unit and integration test suites Review tasks created by peers for accuracy, clarity, and realism Identify edge cases, ambiguities, and potential failure points Verify alignment between specifications, code, and expected outcomes Requirements Exceptional written English 3–7 years of professional software engineering experience Strong skills in Python and JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus Experience in backend or full-stack development for production systems Comfort with testing frameworks like pytest, Jest, JUnit, xUnit, or Go testing tools Advanced debugging abilities in large, multi-file codebases Background in code reviews, refactoring, and handling production migrations What success looks like Consistently delivers production-ready code and thorough documentation Work arrangement Part-time, project-based contract Remote within Germany

We kindly request that you submit your CV in English and specify your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities at leading tech companies, with a focus on testing, assessing, and enhancing AI systems. This is a project-based role, not a permanent position.Opportunity OverviewEach project comes with its own set of unique tasks. Contributors may be responsible for:Creating original optics problems that accurately reflect real-world physics research workflows;Ensuring that these problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);Designing problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Rooting problems in actual research challenges or practical applications from the fields of optics and physics;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis role is well-suited for optical engineers who are open to part-time, non-permanent project work. We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of relevant experience in applied research or education;Familiarity with numerical simulation techniques;The capability to design problems that mirror genuine physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation methodologies;Strong written English skills (C1 level or higher).Workflow ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, tasks are estimated to require approximately 10 to 20 hours per week during active phases, depending on project demands. This is an estimate, not a guaranteed workload, and applies only while the project is ongoing.CompensationContributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on their scope, complexity, and required expertise. Please note that other projects on our platform may offer different earning potentials based on their specific requirements.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

We kindly request that you submit your CV in English, along with a clear indication of your English language proficiency.Mindrift connects talented specialists with project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents its own unique challenges, and contributors may be expected to:Craft innovative computational engineering problems that replicate real-world engineering workflows;Develop problems that necessitate Python programming for solving engineering calculations and simulations;Ensure problems are computationally intensive and utilize numerical methods or iterative solutions;Create problems related to system design, optimization, and analysis;Base problems on genuine research challenges or practical applications within engineering;Validate solutions using Python and standard engineering libraries;Clearly document problem statements and provide verified correct answers.Desired QualificationsThis role is ideal for engineers with experience in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any comparable programming language is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;Understanding of practical engineering limitations and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksApply → Successfully pass qualification(s) → Engage in a project → Complete assigned tasks → Receive payment.Project Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and does not guarantee a specific workload, applicable only while the project is ongoing.CompensationContributors may earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skill set. Note that other projects on the platform may offer different earning potentials based on their specific requirements.

Join our dynamic Implementation team at 360learning, where we play an essential role in seamlessly onboarding new clients. Collaborating across departments such as Sales, Product, and Customer Success, we diligently document client use cases and requirements, translating them into the effective setup and configuration of the 360Learning platform.As a Solution Deployment Manager, you will oversee all stages of the implementation lifecycle, from the sales turnover and kickoff to the eventual handover to support. Your responsibilities will include driving project management, defining the architecture of the 360Learning platform for our clients, facilitating integrations (including flat files and APIs), and guiding clients in order to ensure successful platform deployment.Moreover, you will manage your customers' portfolios throughout their contracts, working to enhance product adoption and delivering complementary solutions such as platform audits.

Mindrift partners with technology leaders to connect specialists to AI projects worldwide. For the Tendem project (https://tendem.ai/), the focus is on building intelligent automation systems that combine Large Language Models (LLMs) with human expertise. The aim is to create scalable workflows that improve content generation, communication, and automation. Role overview This is a part-time, remote contract role as a Freelance AI Workflow Engineer (also known internally as "AI Pilot") for the Tendem project. The main focus is designing and refining LLM-powered workflows. Collaboration with Tendem Agents is central, with the goal of managing repetitive tasks and developing automation solutions. The work includes prompt engineering, workflow design, and quality control to ensure reliable results. Key responsibilities Design and evaluate workflows that use LLM APIs such as OpenAI, Claude, Gemini, or similar tools. Build and enhance AI automation systems for content generation, enrichment, and communication tasks. Develop and improve prompt frameworks to achieve consistent, high-quality outputs. Create systems for personalized automated outreach, including email and messaging flows, as well as lead enrichment. Structure and preprocess data to support stable model performance and trustworthy results. Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Who this role suits This contract is well suited to those with hands-on experience in LLM integrations, prompt design, and automating AI systems. Structured thinking and a focus on quality are important. The position is remote and based in Stuttgart, Baden-Württemberg, Germany, but candidates can work from anywhere.

Mindrift partners with the Tendem project to combine AI technology and human expertise for building and optimizing automation workflows. This freelance role focuses on advancing automation by designing, refining, and supporting processes that reduce repetitive manual tasks. Role overview This is a remote, part-time freelance position based in Stuttgart, Baden-Württemberg, Germany. Mindrift calls this role an AI Pilot. The main focus is on developing and improving automation processes that increase efficiency, scalability, and reliability. Collaboration with Tendem Agents is central to the work, ensuring smooth integration between AI and human-driven systems. Key responsibilities Develop and refine automation workflows using Make.com and n8n Customize solutions with JavaScript to address project needs Work alongside human agents to identify and automate repetitive processes Support integration of AI and human-driven systems for seamless operations Requirements Experience with low-code automation platforms such as Make.com and n8n Strong JavaScript skills for workflow customization Background in workflow architecture and automation best practices Comfort working in a collaborative environment that blends AI and human input Position details Part-time, freelance contract Remote work based in Stuttgart, Baden-Württemberg, Germany

This freelance Optical Engineer role with Toloka AI (remote, based in Stuttgart, Baden-Württemberg, Germany) offers the chance to contribute expertise to project-based AI initiatives. Work is organized through Mindrift, connecting specialists with assignments that help advance AI systems for major technology clients. This is a project-based contract, not a permanent staff position. Role overview The focus is on applying optical engineering knowledge to AI projects. Assignments involve developing original problems and challenges that reflect real-world research in optics and physics. Tasks are designed to require computational rigor and advanced reasoning, rather than simple manual solutions. Key responsibilities Create optics problems modeled on authentic physics research processes Design challenges that demand advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Ensure each task emphasizes computational methods Base problems on real research questions or practical applications in optics and physics Write clear, precise problem statements and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to developing problems across multiple physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1+ level) How to apply Submit an application Complete the required qualifications Join a project Carry out assigned tasks Receive compensation Please provide your CV in English and state your English proficiency level. Project details and time commitment Project work usually calls for 10–20 hours per week during active phases. Actual hours may shift based on project requirements. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Pay rates may vary with project complexity, scope, and skills needed. Other projects on the platform may offer different rates based on their specific needs.