At AgileEngine, we are building a pioneering software for Fortune 500 brands and startups across various industries. Our focus is on application development and AI/ML, with a people-first culture that earned us multiple Best Place to Work awards. The ideal candidate will lead the design of AI systems, from data ingestion to inference services, and oversee the construction of end-to-end LLM/ML pipelines for structured and unstructured energy data. The responsibilities include defining strategies for retrieval-augmented generation, vector databases, and knowledge graphs to power contract intelligence, as well as guiding teams building models for contract auditing, price forecasting, and portfolio optimization. Additionally, the candidate will design and oversee the end-to-end deployment of machine learning and AI pipelines into production, covering service hosting, containerization, and cloud infrastructure. The role also involves establishing coding standards, testing frameworks, and review processes for AI/ML workflows, as well as mentoring engineers in applied AI and reviewing design docs. The ideal candidate has a proven track record as an AI Architect or technical lead, with experience in AI research & development, publishing, and leading R&D; projects. They should have hands-on experience building with LLMs and RAG/vector search, as well as designing microservices and REST APIs for AI inference at scale. The candidate should have strong systems-level thinking and product mindset, able to balance research and engineering trade-offs, and be comfortable presenting to executive audiences. Requirements include 8+ years of professional software development experience, with 5+ years in production ML/AI systems, and a fluency in designing microservices and REST APIs for AI inference at scale. Experience with cloud-native platforms, Docker, and Kubernetes is necessary, as well as excellent verbal and written communication skills. Nice to haves include early-stage startup experience, domain experience in energy, sustainability, or industrial infrastructure, and thought-leadership in AI/ML. Join our team to accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps, enjoy competitive compensation, and work on exciting projects with modern solutions development and top-tier clients. We value a good work-life balance and offer flextime to tailor your schedule.