AI Engineer at Nightfall AI | Bengaluru

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world…

About EnboarderEnboarder is pioneering the world's first agentic AI employee journey platform, seamlessly integrating onboarding, enablement, mobility, and offboarding into a cohesive experience layer.Utilizing the power of AI Assistants and AI Agents, Enboarder empowers HR leaders to deliver structured and personalized employee experiences at scale, liberating HR teams from administrative burdens. Renowned enterprises such as Deloitte, ING, T-Mobile, and Cisco leverage Enboarder to enhance productivity, reduce attrition, and amplify HR capabilities.The outcome: engaged managers, supported employees, and measurable business impact.

Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI assignments for technology companies. Work centers on testing, evaluating, and improving AI systems. This is a freelance position, not permanent employment; all work is project-based. Role overview This freelance Optical Engineer and AI Trainer role is remote and open to candidates based in Hyderabad, Telangana, India. Projects vary, but often involve developing challenging optics problems that reflect real-world physics research. Tasks may include: Designing original optics problems modeled after actual research workflows Creating computationally intensive challenges that cannot be solved by hand within days or weeks Developing problems requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing tasks on real research obstacles or practical scenarios from optics and physics Clearly documenting problem statements and providing accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum 2 years of experience in applied research or teaching Proficiency with numerical simulation methods Ability to create problems reflecting authentic physics research processes Creative problem-solving skills across multiple physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect to spend about 10–20 hours per week. Actual workload may change depending on project needs. Compensation Contributors can earn up to $10 per hour, depending on expertise and pace. Compensation varies by project based on scope, complexity, and required skills.

We invite you to submit your CV in English and specify your English proficiency level.At Mindrift, we bridge the gap between skilled professionals and project-centric AI opportunities with top-tier tech companies. Our focus is on evaluating, testing, and enhancing AI systems through innovative problem-solving. Please note that this is a project-based engagement, not a permanent role.What This Role EntailsWhile each assignment presents distinct challenges, contributors may engage in the following:Create original optical problems that replicate authentic physics research workflows;Ensure that problems are computationally demanding, requiring days or weeks for manual resolution;Devise tasks that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base tasks on genuine research obstacles or practical applications in optics and physics;Clearly document problem statements and provide verified correct solutions.Ideal Candidate ProfileThis role is best suited for optical engineers interested in part-time, non-permanent projects. We seek candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;Proficiency in numerical simulation methods;The capability to formulate problems that reflect real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Excellent command of written English (C1+).Work ProcessApplication → Qualification Assessment → Project Assignment → Task Completion → CompensationProject CommitmentEstimated project tasks will require approximately 10–20 hours per week during active phases, contingent on project specifics. This estimate is not a guaranteed workload and is applicable solely while the project is active.Compensation StructureParticipants can earn up to $10 per hour, commensurate with their contribution level and pace. Compensation varies across projects based on scope, complexity, and expertise required. Please be aware that different projects may offer varying compensation rates.

Join a leading force in AI innovation as the Head of Agentic AI for our client at Weekday-1.Salary range: ₹2,000,000 - ₹5,000,000 (INR 20-50 LPA)We are on the lookout for a dynamic and visionary AI Engineer Lead to spearhead the development and expansion of an innovative autonomous AI ecosystem. This pivotal role involves architecting a sophisticated Agent Runtime Engine, empowering intelligent agents to execute intricate reasoning, decision-making, and tasks with minimal human oversight.Your mission will be to merge cutting-edge large language models with scalable cloud infrastructure, crafting high-performance, secure, and compliant AI systems. Collaborating with cross-functional teams, you will define strategic roadmaps, drive execution, and deliver groundbreaking AI solutions that will enhance the next generation of applications.

We are seeking a talented AI Engineer to lead the design, evaluation, and scaling of our next generation of LLM-powered agents tailored for the healthcare sector. This role is highly technical while also being focused on product and customer needs: you will be responsible for creating datasets, conducting evaluations, enhancing model performance, and ensuring our agents provide significant value in practical workflows.As an AI Engineer, you will collaborate across Engineering, Product, and Customer teams to continually enhance the quality, reliability, and speed of our agents. Your contributions will extend beyond just building agents; you will develop the systems, metrics, and feedback mechanisms that drive continuous improvement of our agents over time.

Join our team at Weekday's client as a Lead AI Engineer!In this pivotal role, you will take charge of designing, developing, and implementing cutting-edge AI solutions. Your expertise will be applied to a variety of large language models (LLMs) — utilizing both open-source and proprietary technologies. You will optimize these models through advanced techniques such as fine-tuning, prompt engineering, agentic frameworks, and retrieval-augmented generation (RAG). As a leader, you'll oversee the AI engineering team, encouraging innovation and ensuring the successful delivery of AI-centric projects.

Joist AI develops AI-driven software tailored for the architecture, engineering, and construction sector. The platform supports marketing and revenue operations, aiming to foster collaboration and enable creative work within organizations. Role overview The Security Engineer will play a key role in strengthening security across Joist AI’s platform. This remote position (India-based) focuses on building a "Security by Design" culture, working closely with engineering teams to reduce risk without slowing development. The job combines hands-on technical work with collaboration across teams to protect customer data and advanced LLM workloads. What you will do Shift-Left Security: Integrate automated security scanning tools (SAST, DAST, SCA) into CI/CD pipelines to identify vulnerabilities early in the development process. Cloud Infrastructure Defense: Define and enforce security policies for the main cloud environment. Secure virtual networks, manage access controls, and protect cloud-native services using infrastructure-as-code methods. AI/ML Security Governance: Lead security strategy for LLM and machine learning workloads, addressing risks such as prompt injection, data poisoning, and model exfiltration. Threat Detection & Incident Response: Build and monitor security observability tools, set up alerts, and respond to security incidents or suspicious activity. Cross-Functional Partnership: Serve as an embedded security advisor for engineering and product teams. Conduct threat modeling, review architectures, and support teams in making secure decisions. Compliance & Trust: Oversee compliance efforts for enterprise AEC clients, maintaining high standards for data privacy and security.

About Our Team:Join our innovative AI team at Helpshift, where we are dedicated to developing cutting-edge AI capabilities. Our team focuses on:Creating AI Agents for seamless automated issue resolutionImplementing User Intent Detection for enhanced user experienceEnhancing AI-Powered Answers and Knowledge BaseDeveloping Agent CoPilot tools to boost agent productivityBuilding LLM-based systems, proprietary ML models, and multimodal RAG pipelinesOur diverse team consists of Backend Engineers, Full-stack Developers, ML Engineers, Data Scientists, and Frontend Developers, all working together to deliver scalable and intelligent AI solutions.Role Overview:We are seeking a seasoned engineer with substantial expertise in AI and exceptional leadership qualities. In this role, you will design and implement advanced AI products and AI Agents, lead a team of engineers, and oversee the execution of LLM-powered projects from inception to deployment.This position merges practical AI/ML and LLM engineering with technical leadership—guiding backend, frontend, and full-stack developers to create robust and scalable production AI systems.Key Responsibilities:Lead and mentor a team of developers, cultivating a collaborative and high-performing engineering culture.Define the technical vision, architecture, and strategy for LLM, AI Agent, and ML projects.Design and develop AI Agents, RAG pipelines (including multimodal RAG), LLM-based services, and evaluation frameworks.Oversee the design, development, and deployment of scalable AI/ML systems from conception through to production.Work closely with Product Managers, ML Engineers, and Data Scientists to translate business needs into AI-driven solutions.Manage the full software development lifecycle for your team, ensuring adherence to best engineering practices regarding coding, testing, quality, and reliability.Conduct in-depth technical reviews and offer guidance to uphold code quality standards.Address performance, scalability, and reliability challenges in production AI systems.Promote continuous improvement, automation, and innovation within the team.Keep the team informed of the latest advancements in LLMs, LLMOps, fine-tuning techniques, vector search, and generative AI.Qualifications:8–10 years of experience in software development.Over 5 years of practical experience in AI/ML.At least 2 years in an engineering leadership role, ideally leading a cross-functional team.Proven experience in developing:AI Agents / Agentic workflowsLLM pipelines (inference, orchestration, guardrails)RAG systems (vector search, knowledge bases, multimodal RAG)LLM fine-tuning (SFT, LoRA, instruction tuning)LLMOps workflows (monitoring, evaluation, optimization, versioning)Strong grasp of ML algorithms and principles.

At Coram AI, we are revolutionizing video security for today's world. Our cutting-edge cloud-native platform leverages computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and accelerate their operations. From real-time alerts to effortless clip sharing and comprehensive multi-site visibility, we are setting new standards in security.Join our dynamic, fast-paced team that prioritizes transparency, skillful execution, and impactful contributions. Here, every team member's voice is valued, and everyone contributes to shaping how AI enhances safety and connectivity in our world.Meet the TeamOur team at Coram AI is comprised of seasoned entrepreneurs and technology innovators with over a decade of experience building autonomous vehicles at prestigious institutions such as Stanford University, Oxford University, Zoox, and Lyft. Having successfully founded and exited various tech companies, they have embarked on this new venture with Coram AI.The Role & RequirementsWe are on the lookout for a dedicated Technical Support Engineer to become an integral part of our Bangalore team. In this role, you will act as a vital link between our customers and our product, diagnosing issues, analyzing systems and metrics, and ensuring that our clients receive prompt, insightful solutions. Additionally, you will contribute to our continuous improvement by documenting solutions and automating responses to recurring challenges.In this role, you will:Diagnose and resolve customer issues by analyzing logs, querying APIs, and utilizing monitoring tools such as GrafanaMaintain clear communication with customers throughout the resolution process, ensuring they remain informed and reassuredDevelop and maintain documentation for critical and recurring issuesIdentify trends and create automation or solutions to prevent recurring issuesCollaborate with engineering teams to escalate complex bugs and advocate for customer needsAssist in enhancing support processes and toolsYou would be an excellent fit if you have:2+ years of experience in technical support or a related customer-facing technical roleProficiency in debugging issues using APIs, logs, and observability toolsStrong ability to produce clear documentation and runbooksExperience with scripting or automation tools to enhance efficiency

Join Coram AI as a Founding QA Engineer and be a pivotal part of our innovative team in Bangalore. We are dedicated to building state-of-the-art AI solutions that enhance the quality and efficiency of our products. As a key member of our engineering team, you will help shape our quality assurance processes from the ground up, ensuring that our software meets the highest standards of performance and reliability.

Toloka AI seeks a Civil Engineer with strong Python experience to join as a Freelance AI Trainer. This contract position centers on developing and delivering training modules for AI projects that combine civil engineering principles with Python programming. Role overview This role involves designing educational content that bridges civil engineering and Python. You will create and present training materials to support AI initiatives, ensuring technical concepts are clearly explained and relevant to project needs. Location This is a remote position based in Hyderabad, Telangana, India.

We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting talented individuals with project-based AI opportunities at leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that these opportunities are project-based and do not lead to permanent employment.Overview of the RoleEach project encompasses distinct tasks, and contributors may be responsible for:Creating innovative computational engineering problems that reflect real-world engineering workflows;Developing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that the problems are computationally demanding and utilize numerical methods or iterative solutions;Formulating problems related to system design, optimization, and analysis;Using real research challenges or practical applications from engineering practice as a basis for problems;Validating solutions through Python using established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent project work. Candidates should ideally possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and other domain-specific libraries is also acceptable;A minimum of 2 years of relevant professional experience, which can include applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Fluency in written English (C1 level or above);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be considered advantageous.How To Get StartedApplication Process: Apply → Complete qualifications → Join a project → Complete tasks → Receive compensation.Project Time CommitmentFor this role, project tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This estimate is not a guaranteed workload and applies only when the project is active.Compensation DetailsContributors can earn up to $9 per hour, depending on their experience and contribution pace. Compensation may vary across different projects based on their scope, complexity, and required expertise. Note that other projects on the platform may offer varying earning levels based on specific requirements.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we bridge the gap between talented specialists and innovative AI projects for top tech companies. Our focus is on evaluating, testing, and enhancing AI systems. Note that participation is project-based and does not lead to permanent employment.About the Role:As an Optical Engineer, you will engage in diverse project-based tasks, including:Crafting original computational physics problems that replicate authentic physics research workflows;Designing problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring the problems are computationally intensive and cannot be manually solved within practical timeframes;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Creating problems based on real-world research challenges or practical physics applications;Validating solutions using Python and standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.

At NICE Systems, we embrace challenges without limits. We are ambitious, innovative, and driven to succeed. If you share our passion, we present an exceptional career opportunity that can ignite your enthusiasm.Role OverviewThe AI Software Engineer is a pivotal customer-facing role that involves implementing and delivering AI-driven and Conversational AI solutions within the NICE CXone ecosystem. As a key technical contributor, you will engage in building integrations, configuring AI platforms, and ensuring the successful execution of project deliverables.Your ImpactTechnical Implementation and Configuration:Customize and deploy Conversational AI solutions based on business and technical specifications.Create and maintain integrations utilizing APIs, modern web technologies, and authentication protocols.Enhance bot functionalities using conversational design and best practices in prompt engineering.Develop proofs of concept (PoCs) and production-ready components.Support validation and go-live activities to ensure operational success across diverse customer environments.Technical Problem Solving & Quality:Identify and resolve complex technical challenges within SaaS applications, integrations, and data workflows.Modify existing integrations and components to adapt to changing customer requirements.Ensure that implementations adhere to quality, performance, security, and usability standards.Produce thorough documentation, including specifications, test cases, and deployment instructions.Collaboration with Implementation Teams:Work closely with Implementation Engineers, Consultants, and Project Managers in defining requirements and designing solutions.Engage in customer workshops to clarify technical details and validate project feasibility.Maintain effective communication across cross-functional teams.

Join Deductive AI as a Forward Deployed EngineerAt Deductive AI, we are revolutionizing the way leading global software companies manage production incidents through our innovative AI SRE Agents. Our mission is to liberate engineers and organizations from the relentless cycle of crisis management, allowing them to focus on their core objectives and maximize their potential.Our team comprises elite AI researchers and engineers with distinguished backgrounds from renowned institutions and companies such as UC Berkeley, IIT, Meta, Google, Amazon, Databricks, and ThoughtSpot. We merge cutting-edge academic research with practical industry insights to redefine what AI can accomplish in the realm of reliability engineering.Role OverviewAs a Forward Deployed Engineer, you will engage directly with customers, guiding them through the successful implementation of Deductive during proof-of-concept trials and full rollouts. By understanding their incident management and reliability needs, you will customize and enhance our AI platform to suit their specific requirements. This position combines technical acumen with customer partnership, ensuring that Deductive delivers impactful and measurable results.Key ResponsibilitiesLead and manage the implementation of Deductive, assisting customers from initial scoping and integration through to production readiness and measurable success.Tailor and optimize Deductive deployments to align with customer-specific use cases, ensuring rapid value delivery.Serve as a trusted technical advisor, helping clients navigate challenges related to observability and reliability while establishing effective practices.Create automation scripts that extend Deductive's capabilities across observability platforms, codebases, and knowledge systems.Collaborate closely with Product and Engineering teams to incorporate customer feedback into product improvements and best practices.

Anaplan creates AI-powered scenario planning and analysis tools designed to help organizations make informed, timely decisions. The platform is used by more than 2,400 companies worldwide, including major names such as Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer. The company’s mission centers on helping customers adapt and thrive in shifting markets. Teams at Anaplan are dedicated to customer success and value a range of perspectives. Both group achievements and individual contributions are recognized and celebrated. Culture and Values Leadership at Anaplan is not limited by title or level. Team members are encouraged to set ambitious goals and support one another in achieving them. Strategic thinking, practical execution, and a strong sense of shared purpose shape daily work. Every idea and effort contributes to the company’s direction. Location This AI Engineering Manager position is based in Gurugram, India.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Join OpenGov as an Applied AI Engineer in our cutting-edge AI Surfaces team! In this role, you will be at the forefront of developing innovative AI solutions that enhance our product offerings. Your expertise in artificial intelligence and machine learning will enable you to tackle complex challenges and contribute to our mission of modernizing government through technology.

Join roboyo as a Senior AI Engineer and be a pivotal part of our innovative team. In this role, you will leverage your expertise in artificial intelligence to design, develop, and implement cutting-edge AI solutions that drive impactful business outcomes. Your contributions will help shape the future of our technology and create value for our clients.