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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 us
if 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 role
we’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.
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