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.NET Tech Lead

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Nitor Infotech
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below

Role Overview

We are seeking a highly experienced Application Lead to work on the design, architecture, and delivery of enterprise-grade solutions. 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 (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 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 .NET
  • Ensure robust deployment practices using Docker, CI/CD, and AWS
  • Drive system performance, scalability, monitoring, and reliability
Required Qualifications
  • 8+ years of experience in software engineering
  • 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 .NET 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
  • Application:
    Angular, .Net, .Net Core (Good to Have Python, FastAPI)
  • Database:
    PostgreSQL
  • Architecture:
    Microservices, API orchestration, scalable system design
  • Cloud & Dev Ops:
    Docker, CI/CD, AWS
AI / GenAI
  • AI / GenAI:
    Claude API, MCP, LLMs (Claude, GPT, open source)
  • AI Patterns:
    Agentic AI, RAG, Vector Databases, Prompt Engineering
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