Ai Engineer Id34949 ($3,000 Signing Bonus)

OverviewJoin to apply for the AI Engineer ID

• ($3,000 signing bonus) role at AgileEngine.AgileEngine is an Inc.
• 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 doDesign 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 HAVES7+ 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 HAVESExperience 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 usProfessional 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, with options to work from home or in the office.

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