AI Technical & Product Manager [LLM GenAI FAST API] Contract at Austin Texas

Overview AI Technical & Product Manager [LLM GenAI FAST API] Contract at Austin Texas Places Technology Services team is looking an AI Technical & Product Manager that can partner with internal AI platform teams, explore open source alternatives and build AI agents for extended business unit. As the AI Technical & Product Manager, you’ll drive the development and delivery of cutting-edge AI products, with a strong focus on hands-on engineering, rapid prototyping, and stakeholder alignment. The team balances quickly bringing value and making decisions that scale into a large agent system/workflow or quickly pivot to a better solution after business feedback. Collaborating with AI/ML teams, data scientists, and infrastructure organizations. Responsibilities Lead End-to-End Product Development: 8+ years of experience in full lifecycle of Software Engineering product development (AI preferred), from ideation and requirements gathering to prototyping, implementation, and production launch Hands-On Engineering: 4+ years of development skills building backend REST API services using Python (FAST API preferred) LLM-Focused Solution Design: 2+ years of experience building, architecting, or fine-tuning LLM-based solutions, with practical experience in GenAI Rapid Prototyping: Build functional prototypes that demonstrate core ability to use frameworks (e.g., LangChain, LangGraph), and a working knowledge of ML techniques Stakeholder Alignment: Facilitate alignment across business, design, and engineering teams, ensuring clarity of vision, requirements, and deliverables throughout the product lifecycle Results-Oriented Execution: Embrace a pragmatic approach to problem-solving—prioritizing speed, usability, and impact over perfection, and iterating quickly to get products into production Practical experience with asynchronous programming, type safety, threading models, state machines and data structures Experience with managed cloud platforms such as AWS, GCP, Azure Proficiency with containerized technologies (Docker) and familiar with orchestration platforms (Kubernetes) Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience Qualifications Hands-On Engineering: 4+ years of development experience building backend REST APIs using Python (FAST API preferred) LLM-Focused Solution Design: 2+ years of experience with LLM-based solutions, GenAI Rapid Prototyping: Ability to build functional prototypes using frameworks such as LangChain/LangGraph and ML techniques Stakeholder Alignment: Ability to align across business, design, and engineering teams Cloud & DevOps: Experience with AWS, GCP, Azure; Docker; Kubernetes Education: BS in Computer Science, Engineering, or related field or equivalent experience Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries Information Services Data Infrastructure and Analytics Technology, Information and Media Base pay range $65.00/hr - $69.00/hr #J-18808-Ljbffr Red Oak Technologies