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

Red Oak Technologies; Austin (TX); In loco; USD 89.544 - 95.054; Tempo pieno

Descrizione del lavoro

A dynamic tech firm in Austin is seeking an AI Technical & Product Manager to drive the development of cutting-edge AI products. The ideal candidate will have extensive experience in software engineering and backend development, particularly with LLM-based solutions. Responsibilities include leading product lifecycle from ideation to launch, rapid prototyping, and ensuring stakeholder alignment. Competitive compensation offered at $65.00/hr - $69.00/hr.

Competenze

• 8+ years of experience in full lifecycle of Software Engineering product development.
• 4+ years of development skills building backend REST API services using Python.
• 2+ years of experience building LLM-based solutions, practical in GenAI.

Mansioni

• Lead end-to-end product development for AI applications.
• Build functional prototypes using frameworks like LangChain.
• Facilitate alignment across business, design, and engineering teams.

Conoscenze

Backend REST API development

Building LLM-based solutions

Rapid prototyping with ML techniques

Stakeholder alignment

Experience with AWS

Containerized technologies (Docker)

Formazione

Bachelor's degree in Computer Science or Engineering

Strumenti

Python (FAST API)

Docker

Kubernetes

AWS

GCP

Azure

Descrizione del lavoro

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