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.
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.
Requirements
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.