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
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