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;omfortable 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.