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Join Ramboll as a Structural Engineer in the Energy sector, where you will be at the forefront of innovative engineering solutions. You will work collaboratively with a team of experts to design and implement sustainable structures that support renewable energy projects. Your expertise will contribute to advancing our mission of creating a sustainable future.
Ramboll is a global engineering, design, and consultancy company committed to sustainable solutions. With a strong focus on innovation and collaboration, we aim to create a positive impact on society and the environment. Our teams work on some of the most exciting projects in the energy sector, driving the transition towards a greener future.
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Search for Senior Applied Ai Engineer Value Engineering In The Energy Sector
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Join Celonis as a Senior Applied AI Engineer in our Value Engineering team, where you will leverage cutting-edge AI technologies to revolutionize the energy sector. You will collaborate with diverse teams to develop innovative solutions that optimize business processes and drive efficiency. If you are passionate about AI and its applications in the energy in…
Smith Engineering
About the Role Smith Engineering is hiring a Director of Energy Engineering to guide the energy solutions team in New York City. This senior leader will shape project direction and help set the strategy for energy initiatives across our portfolio. What You Will Do Lead a team focused on delivering energy engineering projects Develop and implement strategies that strengthen our energy solutions Oversee project execution and ensure alignment with company goals What We’re Looking For Extensive experience in energy engineering Proven leadership and team management skills Ability to drive strategic initiatives in a technical environment This position is based in New York City.
Thread AI
Join Thread AI as an Applied AI EngineerAt Thread AI, we are pioneering the development of an AI-native workflow orchestration engine. We seek passionate individuals to be part of our dynamic team, dedicated to simplifying infrastructure for enterprises and public sector agencies eager to harness the full potential of AI.Based in New York, our thriving team comprises specialists in AI, product development, and engineering, all with proven experience in managing intricate workflows and infrastructure.Our Engineering CultureWe pride ourselves on maintaining a tight-knit technical team that integrates engineering, research, design, product, and operational excellence. Our philosophy emphasizes a flat organizational structure and collaborative environment, enabling us to innovate rapidly and create superior products compared to larger, hierarchical organizations.Your RoleAs an Applied AI Engineer, you will be instrumental in architecting and implementing robust AI workflows. Daily, you will design end-to-end customer workflows, oversee their transition to production, and address real-world challenges. Your responsibilities will include crafting innovative, scalable, and high-performance software solutions that align with both customer needs and our strategic goals. You will collaborate closely with our sales and marketing teams to develop forward-thinking prototypes that will guide the future product and infrastructure direction of Thread AI and our clients.
Join Celonis as a Senior Applied AI Engineer specializing in Value Engineering within the Life Sciences sector. In this pivotal role, you will leverage cutting-edge AI technologies to derive actionable insights from complex datasets, allowing organizations to enhance operational efficiency and improve patient outcomes.
Taktile
Taktile is seeking a Senior Applied AI Engineer to join the team in the New York office. This position centers on developing and refining AI and machine learning solutions that enhance business intelligence and decision-making capabilities. Role overview The Senior Applied AI Engineer will work closely with colleagues from various departments to bring advanced AI technologies into real-world use. The goal is to help deliver measurable outcomes for clients by applying machine learning and AI methods to business challenges. Collaboration This role requires frequent interaction with teams across the company. Success depends on the ability to translate technical advances into practical tools and insights that support client needs.
Genius Sports
Genius Sports is at the forefront of transforming the sports experience for fans globally by combining cutting-edge technology with unparalleled live data. We are dedicated to providing immersive, interactive, and personalized experiences that elevate the way fans engage with their favorite sports.Learn more at geniussports.com.About the Role We are seeking a talented Senior Applied AI Engineer to develop production-ready multimodal systems that seamlessly convert broadcast and radio feeds into structured, real-time signals and event candidates. You will play a vital role in designing and enhancing “agentic” components (sensor agents, specialist agents, decision logic) that drive products such as Audio Intelligence, semi-automated broadcast-to-data tagging, and highlight/momentum signals.Your technical expertise and pragmatic problem-solving approach will be invaluable as you collaborate within a team that emphasizes Agile principles and continuous improvement. A data-driven mindset and comfort with continuous experimentation and validation will be essential in this role.
Amigo
About AmigoAmigo collaborates with healthcare organizations to implement advanced AI infrastructure that enhances patient care and provider efficiency. Our AI agents streamline clinical workflows and engage patients throughout their healthcare journey—from pre-visit intake and care navigation to post-visit care plans and ongoing patient monitoring.Recently, we secured a Series A funding round from top-tier investors including Madrona, General Catalyst, and Optum Ventures. Our technology is validated by leading academic medical institutions, and our agents have successfully managed over 3 million patient encounters, with a goal to multiply that number tenfold this year.About This RoleAs an Applied AI Engineer at Amigo, you will develop and deploy production-grade AI agents using our established architecture and verification framework. Your role will involve direct collaboration with clinical teams and enterprise clients to create agents capable of delivering complex, specialized services with proven reliability. This position demands a strong technical implementation background, paired with the capacity to translate clinical knowledge into effective systems that adhere to regulatory compliance.Your ResponsibilitiesDevelop context graphs that empower agents to choose the appropriate reasoning mode (lookup, pattern recognition, exploration) based on the complexity of the problem at hand.Construct and refine agent configurations, which include static personas, dynamic behaviors, and functional memory systems.Design bounded Operational Patient Domains (OPDs) with clear inclusions, exclusions, capabilities, and escalation protocols.Establish verification loops and simulation-based testing to assess agent performance against defined customer KPIs.Write Python code for tool integrations and API orchestration within client environments.Develop evaluation suites that govern deployments based on customer-specific success metrics.Engage with domain experts through structured interviews to capture critical reasoning patterns and clinical protocols.Provide support to technical power users through git-based workflows, facilitating rapid iterations.Implement adversarial testing to proactively identify and mitigate potential failure modes.Ensure agents maintain audit-ready provenance through version control and evidence links.Contribute to the systematic development of implementation patterns across various problem domains.What We Are Looking ForA minimum of 2 years of experience in AI engineering or a related field.Proficiency in programming languages, particularly Python.Strong understanding of AI frameworks and deployment methodologies.Excellent communication skills to work effectively with cross-functional teams.A passion for improving healthcare delivery through innovative technology.
CoreWeave
Join CoreWeave as a Senior Software Engineer specializing in Applied AI. In this pivotal role, you'll leverage cutting-edge technologies to develop innovative AI solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize AI algorithms and systems. Your expertise will help us push the boundaries of what's possible in AI and contribute to our mission of revolutionizing the cloud infrastructure landscape.
Role overview As Engineering Manager for Applied AI & Platform at norm-ai in New York City, this position leads a team dedicated to bringing artificial intelligence into the company’s platform products. The manager sets direction for projects, supports the technical development of engineers, and plays a key role in shaping the vision for how AI will influence future product offerings. What you will do Guide engineers as they develop and integrate AI technologies into core platforms Oversee project planning and execution to ensure initiatives match company objectives Provide technical leadership and mentorship to help the team achieve strong results Work with stakeholders to define the technology roadmap and platform strategy
Quizlet Inc.
Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA
Join Celonis as a Senior Applied AI Engineer, specializing in Value Engineering within the Healthcare Distribution sector. In this pivotal role, you will leverage your expertise in AI and analytics to drive operational excellence and deliver innovative solutions that enhance healthcare distribution processes.Your contributions will be instrumental in transforming data into actionable insights, enabling our clients to optimize their supply chains and improve patient outcomes. We are looking for a visionary engineer who is passionate about harnessing AI to solve complex problems in healthcare.
Rowspace
Rowspace is looking for an Applied AI Engineer to join the team in New York City. This position focuses on building and improving AI systems that help the platform interpret and deliver key financial insights. Projects range from developing AI agents that respond to client feedback to designing evaluation frameworks and advanced retrieval systems that support financial workflows. What you will do Apply recent advances in AI to create systems that understand financial contexts and business concepts. Design retrieval pipelines capable of extracting and combining insights from unstructured data sources, such as PDFs, emails, and presentations, while resolving conflicting information. Develop agentic workflows so AI can analyze financial relationships, benchmark data, and perform comparative analysis. Create and maintain knowledge graphs to represent complex financial relationships, entity connections, and market dynamics. Build evaluation frameworks to measure and improve AI performance in tasks like investment research, due diligence, and portfolio monitoring. Implement systems that ensure traceability from AI-generated outputs back to original sources. Experiment with advanced LLM orchestration and context management approaches tailored to financial use cases. Help shape technical direction and define best practices for AI application development at Rowspace. Iterate on AI systems using direct input from customers, refining solutions based on real-world usage and feedback. Manage the full lifecycle of production systems, taking responsibility for reliability, performance, and maintainability across the stack.
Greenboard
Role Overview Greenboard is hiring an Applied AI Engineer in New York City. This role focuses on building and launching AI-powered features that improve Greenboard’s products and services. Work closely with engineers and data scientists to bring new AI ideas into production. What You Will Do Design, develop, and deploy AI solutions to support product enhancements Collaborate with team members to integrate advanced AI technologies Contribute to projects that shape the direction of AI at Greenboard Location This position is based in New York City.
Ascertain
Join the Ascertain TeamAt Ascertain, we are revolutionizing healthcare by developing AI agents designed to alleviate the administrative burdens faced by care teams. Our innovative solutions are currently implemented in major health systems and large specialty groups, freeing up hundreds of staff hours each week.Proudly backed by Northwell Health, the largest health system in New York, and Deerfield Management, a prominent healthcare investment firm, we are dedicated to restoring time, trust, and focus to those who make healthcare work. Our efforts are critical—not merely because of startup timelines, but because our clients depend on us to ensure financial resilience and operational clarity in a challenging healthcare landscape.Your RoleAs an early member of our AI engineering team, you will focus on developing agentic systems. Your initial task will be to create voice agents that autonomously call payers to verify the status of prior authorization submissions, follow up on pending requests, and accurately capture structured outcomes in our systems. This role aims to replace the tedious human task of waiting on hold with faster, more efficient, and tireless AI agents.Over time, your responsibilities will expand beyond voice technology as we integrate AI across various facets of the company. You will play a vital role in shaping how Ascertain designs, evaluates, and operates diverse agent types, including voice, chat, document understanding, and internal tools. We seek an AI engineering generalist excited to start with voice technology and grow into multidimensional AI solutions.Your ResponsibilitiesDevelop and implement voice agents capable of making outbound calls to payers, managing IVR systems, navigating hold queues, engaging in multi-turn dialogues with human representatives, and accurately capturing structured data.Integrate telephony, speech recognition, text-to-speech, and large language model components into robust, reliable end-to-end pipelines, maintaining ownership in production.Establish evaluation and quality assurance frameworks to assess agent performance, pinpoint regressions, and drive continuous improvements based on real-world interactions.Create and sustain APIs and integrations that connect agent outputs with our prior authorization workflows.Instrument every aspect of agent operations: call outcomes, agent behavior, latency, and failure modes, utilizing this data to enhance future iterations.Collaborate closely with our operations and clinical teams to identify and automate high-impact workflows, translating those insights into actionable agent designs.As Ascertain's AI initiatives expand, evolve your role to tackle new challenges and explore broader applications of AI technologies.
Join Ramboll as a Structural Engineer in the Energy sector, where you will be at the forefront of innovative engineering solutions. You will work collaboratively with a team of experts to design and implement sustainable structures that support renewable energy projects. Your expertise will contribute to advancing our mission of creating a sustainable future.
General Intelligence Company
Join our innovative team at General Intelligence Company as an Applied AI Engineer, where you'll be at the forefront of enhancing our Cofounder agent technology. You'll take charge of critical backend systems and engage in applied large language model (LLM) projects, focusing on improving agent reliability and autonomy. Your role will encompass building evaluation pipelines and implementing techniques that significantly boost agent performance. This is a hands-on position that demands high ownership from research to production: prototyping, evaluating, and deploying enhancements that have a direct impact on user experience.Your ResponsibilitiesArchitect and execute comprehensive agent enhancements: including prompting strategies, tool selection, action planning, memory optimization, safety measures, and recovery solutions.Develop robust evaluation frameworks for the agent: offline evaluations (golden tasks, regression tests, behavior assessments), online metrics (latency, success rates, failure modes, cost efficiency), and experimentation methods (A/B testing, canaries, guardrail thresholds).Implement applied LLM methodologies: orchestrating function/tool calls, self-reflection, retrieval-augmented generation (RAG), multi-agent transitions, caching and embedding strategies, and reducing hallucinations.Enhance core backend systems: ensuring reliable job orchestration, implementing retries/backoff strategies, supporting idempotency and auditability; managing scalable memory and context routing; optimizing data pipelines across platforms such as Gmail, Slack, Notion, Linear, Google Workspace, etc.; and improving observability and tracing for agent actions and outcomes.Collaborate with product and infrastructure teams to define success metrics and deliver rapid, safe iterations.Produce clean, thoroughly tested code; document design choices and operational guidelines.QualificationsA minimum of 4 years of backend engineering experience, ideally with Python (we prioritize impact over tenure).Hands-on experience with LLMs: including prompt engineering, function calling, retrieval techniques, embeddings, and evaluation frameworks; demonstrated experience in deploying LLM features into production.Proven track record in developing evaluation harnesses and leveraging them to drive enhancements (regression suites, task success metrics, cost/runtime trade-offs).Strong understanding of distributed systems principles: concurrency, reliability, performance optimization, data modeling, and lifecycle management.Practical approach to experimentation: from hypothesis formulation to prototyping, measuring improvements, and rollout.Exceptional debugging and instrumentation skills; a passion for identifying and resolving edge cases in real-world scenarios.Preferred QualificationsExperience in working with other programming languages and technologies.
Nevis
About NevisNevis is at the forefront of revolutionizing wealth management with the world's first AI-driven platform. In less than a year, we have successfully managed over $50 billion in assets, with projections to surpass $100 billion by year-end.With support from leading investors, including Sequoia Capital, ICONIQ, and Ribbit, we've raised $40 million, making us one of the top-funded and fastest-growing Series A startups in Europe.The RoleWe are seeking a passionate and skilled AI Engineer to join our dynamic team at Nevis. You will be instrumental in developing our next-generation AI-focused wealthtech products, tackling key challenges faced by our business clients through innovative LLM-driven automation pipelines.Your work will involve utilizing state-of-the-art LLM models and collaborating with industry-leading vendors to enhance our platform's reasoning capabilities, consistently setting the standard for high-quality model outputs.As part of a small, elite team comprising top engineers and product developers, including the former Head of AI at Revolut, you will have the opportunity to make a significant impact on one of the largest industries globally.Your ResponsibilitiesDesign and create LLM and ML-based features across Nevis’ platform.Collaborate with cross-functional teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously monitor and refine the performance and reasoning quality of our AI products.Engage with product and design teams to prototype and enhance new AI features and products.Keep abreast of the latest advancements in the generative AI space, including agentic systems, reasoning capabilities, and context engineering.Your QualificationsHands-on experience with large language models (LLMs).Demonstrated success in solving real-world challenges using AI/ML.Strong statistical and data analysis skills.STEM degree from a reputable university.Enthusiasm for transformative AI technologies.Product-driven mindset, emphasizing practical applications over theoretical concepts.
embedding-vc
Join the FLORA TeamAt FLORA, we are pioneering the first creative operating system, an expansive canvas tailored to the generative computing era. Our dedicated team of approximately 45 professionals is committed to enhancing creative craftsmanship, supported by leading investors such as Redpoint, Menlo Ventures, and a16z, along with visionary founders like Guillermo Rauch and Justin Kan. Our platform has already become the preferred choice for top-tier creative entities including Pentagram, Lionsgate, and Nike.Your Role: We are seeking a talented Software Engineer to architect and develop the intelligent systems that will drive FLORA. As a crucial member of our founding team, you will collaborate closely with our founders to redefine how creative professionals engage with AI in this generative age. This is a role grounded in first principles: you will design, implement, and scale the core workflows that empower creatives to orchestrate text, image, and video models seamlessly across FLORA’s infinite canvas.Key Responsibilities: In your role as an Applied AI Engineer, you will craft the intelligence layer of FLORA—systems that enhance multi-modal creative workflows to be powerful, reliable, and user-friendly. You will tackle challenges at the intersection of AI, orchestration, and interaction design, integrating text, image, and video models into cohesive workflows that creatives can trust and enjoy using. Collaboration will be essential as you work across product, infrastructure, and design to develop features that allow creatives to articulate their visions while retaining control.
Triedge Investments
About HyphaHypha is an innovative AI-driven platform that is revolutionizing asset management throughout the entire lifecycle—covering acquisition, management, and exit strategies. With a specific focus on healthcare facilities and multifamily real estate, we are transforming the industry through three essential pillars:Observability: Delivering real-time insights into asset performance, deal advancement, and market dynamics for all stakeholders involved.Intelligence: Facilitating AI-enhanced multidimensional optimization with precise risk assessment, tax strategies, and benchmarking.Orchestration: Streamlining workflows and providing a singular source of truth to eradicate inefficiencies.Role OverviewAs a Senior/Staff Backend Engineer specializing in Applied AI at Hypha, you will take ownership of the architecture and ongoing development of the core AI systems integral to our platform. Your role includes the design and scaling of document processing pipelines, extraction agents, entity resolution systems, computed attribute frameworks, and user-friendly conversational interfaces that facilitate interactions with complex financial data.You will spearhead the creation of multi-step AI workflows that convert unstructured data into structured, actionable insights. Additionally, you will build the backend infrastructure, evaluation systems, and observability layers necessary for the reliable operation of these systems in a production environment. This position is designed for an engineer capable of transcending mere implementation to make impactful decisions regarding system design, performance, reliability, and technical trade-offs.Collaboration will be key as you work closely with leadership, product teams, and engineering colleagues to shape the technical direction, enhance engineering standards, and define the architecture and scaling strategy for Hypha's applied AI stack over time.
Role overview The Senior Value Engineer at Celonis partners with consumer goods clients in New York to address operational challenges. This role focuses on understanding each client’s business needs, highlighting how Celonis solutions can deliver measurable improvements, and supporting implementations that drive efficiency. What you will do Collaborate with consumer goods companies to pinpoint areas for operational improvement Showcase the benefits and impact of Celonis process mining technology on client workflows Coordinate solution rollouts and support clients in reaching higher levels of efficiency About Celonis Celonis creates process mining tools designed to help organizations identify inefficiencies and support business transformation.
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