Ai Engineer Id34949

Job Description Join 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. OverviewWe’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 BenefitsProfessional 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. Requirements7+ 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. #J-18808-Ljbffr