Join to apply for the AI Engineer ID34949 ($3,000 signing bonus) role at AgileEngine2 days ago Be among the first 25 applicantsJoin to apply for the AI Engineer ID34949 ($3,000 signing bonus) role at AgileEngineJoin us and receive a $3,000 signing bonus!AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!ABOUT THE ROLEWe’re seeking a deeply technical and product-minded Senior AI Engineer to help design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management. You’ll collaborate cross-functionally with product, engineering, and data infrastructure teams to develop intelligent systems powered by LLMs and ML. If you thrive in fast-moving environments and love turning unstructured data into scalable, high-impact tools—this role is for you.WHAT YOU WILL DO- Design and deploy end-to-end agentic pipelines for structured and unstructured energy data;- Build and fine-tune LLM applications using RAG, vector databases, and knowledge graphs;- Develop models for contract intelligence, price forecasting, and energy portfolio optimization;- Deliver scalable APIs and AI services using FastAPI, Flask, or similar frameworks;- Integrate with cloud-native platforms (AWS, GCP) and modern data infrastructure;- Mentor peers and contribute to best practices in applied AI and ML engineering;MUST HAVES-7+ years of professional software development experience;- 5+ years deploying machine learning systems in production;- 3+ years building with LLMs, both locally-hosted and API-based (OpenAI, Gemini, etc.);- Expertise in Python and libraries like PyTorch, TensorFlow, and Hugging Face;- Hands-on experience with agentic pipelines, RAG, vector search, and prompt engineering;- Deep familiarity with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes;- Experience designing scalable microservices and REST APIs for AI inference workflows;- Excellent verbal and written communication — you’ll regularly present to the C-suite;- Systems-level thinking with a product mindset;- Upper-Intermediate English level.NICE TO HAVES- Experience in an early-stage startup environment;- Experience in energy, sustainability, or infrastructure tech;- A commitment to ethical, socially responsible AI;- Online thought-leadership, contributions to open-source AI/ML projects and research.THE BENEFITS OF JOINING US- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at AgileEngine by 2xWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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