Join us and receive a $3000 signing bonus!
Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.
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.
About us
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!
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.
Job Type: Full-time
