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!
WHAT YOU WILL DO
- Architect & Roadmap: Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services;
- Agentic Pipelines: Specify and oversee construction of end-to-end LLM/ML pipelines for structured and unstructured energy data;
- RAG & Vector Search: Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence;
- Model Development: Guide teams building models for contract auditing, price forecasting, and portfolio optimization;
- ML Pipeline to Full-Stack Deploy: Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure;
- Standards & Best Practices: Establish coding standards, testing frameworks, and review processes for AI/ML workflows;
- Mentorship & Leadership: Coach engineers in applied AI, review design docs, and present architecture reviews to stakeholders, including C-suite.
MUST HAVES
- 8+ years of professional software development, with 5+ years in production ML/AI systems;
Proven track record as an AI Architect or technical lead, able to envision complex systems and drive them to production;
- Demonstrated experience in AI research & development;
- Publishing, prototyping novel approaches, or leading R&D projects;
- Proven experience building with LLMs (locally hosted and API-based), plus hands-on RAG/vector search experience;
- Fluent in designing microservices and REST APIs for AI inference at scale;
- Strong systems-level thinking and product mindset, able to balance research and engineering trade-offs;
- Experience with cloud-native platforms (AWS, GCP, Azure), Docker, and Kubernetes;
- Excellent verbal and written communication;
- Сomfortable presenting to executive audiences;
- Upper-Intermediate English level.
NICE TO HAVES
- Early-stage startup experience, especially shaping nascent AI products;
- Domain experience in energy, sustainability, or industrial infrastructure;
- Thought-leadership in AI/ML: open-source contributions, publications, or conference talks;
- Commitment to ethical, socially responsible AI.
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.
Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site. The incomplete registration results in the termination of your process.