
AI Engineer ID34949
4 semanas atrás
Join to apply for the AI Engineer ID34949 ($3,000 signing bonus) role at AgileEngine .
About AgileEngineAgileEngine 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 usJoin 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. 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 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
- 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
- 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
- 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, with options for working from home or in the office—whatever makes you the happiest and most productive.
- Mid-Senior level
- Full-time
- Information Technology
- IT Services and IT Consulting
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