Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward. 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. About us 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. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! 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. Job Type: Full-time