Tech Lead - Onsite - Austin, TX

Tech Lead

Experience - 7+ Years Location - Onsite – Austin, TX Pay Rate – DOE

Role Overview

We are seeking a highly experienced Application Lead / AI Architect to lead the design, architecture, and delivery of enterprise-grade Generative AI solutions focused on route optimization. This role requires strong ownership of end-to-end system architecture, strategic technical decision-making, and leadership of cross-functional engineering teams.

Key Responsibilities

Architecture & Solution Design - Define and own end-to-end system architecture (LLMs, RAG pipelines, APIs, frontend, and data layer) Create architecture diagrams, technical blueprints, and design documentation Design scalable, secure, and high-performance GenAI systems using a spec-driven approach Establish best practices for modular, reusable, and production-ready system design

AI / GenAI Engineering - Architect and implement solutions using Claude API, LLMs, and agentic AI frameworks Design multi-agent systems, MCP integrations, and tool-based workflows Build and optimize RAG pipelines with vector databases and retrieval strategies Define prompt engineering standards, structured outputs, and evaluation frameworks

Leadership & Delivery - Lead and mentor a team of AI/ML engineers and developers Drive technical planning, task allocation, and delivery timeline Conduct code reviews and enforce engineering best practices Collaborate with product, design, and engineering stakeholders

Engineering & Platform - Oversee backend development using FastAPI and Python Ensure robust deployment practices using Docker, CI/CD, and GCP Drive system performance, scalability, monitoring, and reliability Implement testing frameworks for GenAI validation and hallucination detection

Required Qualifications

10+ years of experience in software engineering, AI/ML, or related fields Strong expertise in system architecture and distributed system design Hands-on experience with LLMs (Claude, GPT) and Generative AI systems Deep understanding of RAG, agentic AI, and prompt engineering techniques Strong proficiency in Python, FastAPI, and backend system development Proven experience in leading engineering teams and driving technical delivery Experience with spec-driven development and enterprise-grade system design

Tech Stack

AI / GenAI: Claude API, MCP, CrewAI, LLMs (Claude, GPT, open source) AI Patterns: Agentic AI, RAG, Vector Databases, Prompt Engineering Backend: React Js,.Net,.Net Core (Good to Have Python, FastAPI) Database: MySQL Maps & Geospatial: Google Maps API, Leaflet.js Frontend: React.Js Architecture: Microservices, API orchestration, scalable system design Cloud & DevOps: Docker, CI/CD, AWS