AgileEngine is an award-winning software creator for Fortune 500 brands and trailblazing startups across industries. We rank among leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Are you looking for a place to grow, make an impact, and work with people who care? We'd love to meet you. Here's what we do: Key Responsibilities: - Lead design sessions and produce detailed AI system blueprints, from data ingestion to inference services; - Specify and oversee construction of end-to-end LLM/ML pipelines for structured and unstructured energy data; - Define strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence; - Guide teams building models for contract auditing, price forecasting, and portfolio optimization; - Design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure; - Establish coding standards, testing frameworks, and review processes for AI/ML workflows; - Couch engineers in applied AI, review design docs, and present architecture reviews to stakeholders. Requirements: - 8+ years of professional software development experience, 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; - 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, Docker, and Kubernetes; - Excellent verbal and written communication; - Comfortable presenting to executive audiences. Nice to Have: - 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: - 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 options of working from home and going to the office – whatever makes you the happiest and most productive.