Principal Software Engineer

Brooksource; Austin (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Brooksource seeks a Principal AI Software Engineer to design, build, and deploy production-grade AI capabilities across the software development lifecycle. This role emphasizes AI-assisted development, agentic systems, code assurance, security automation, and enterprise platform integrations.

The ideal candidate combines strong software engineering with hands-on expertise in large language models, AI agents, context engineering, and secure development practices.

Qualifications

• Production experience building and deploying AI/LLM solutions with measurable business impact.
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Responsibilities

• Design, build, and deploy production-grade AI capabilities across the SDLC.
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Skills

AI/LLM development

Context engineering

Agentic systems design

API design

Secure SDLC

Performance optimization

Enterprise integrations

DevSecOps

OWASP/NIST knowledge

LLMOps

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

Claude Code

GitHub Copilot

Cursor

Devin

Job description

Principal AI Software Engineer – Secure SDLC

Work Arrangement: Fully onsite

Industry: Major global technology company

Role Overview

We are seeking a Senior AI Software Engineer to design, build, and deploy production-grade AI capabilities across the software development lifecycle (SDLC). This role focuses on AI-assisted development, agentic systems, code assurance, security automation, and integrations with enterprise engineering platforms.

The ideal candidate combines strong software engineering and systems design experience with hands-on expertise in large language models, AI agents, context engineering, and secure development practices.

Required Skills and Qualifications

• Production experience building and deploying AI/LLM solutions with measurable business impact.
• Hands-on experience with context engineering, retrieval, enterprise data grounding, memory, and structured outputs.
• Experience designing agentic systems, including agent loops, multi-agent orchestration, and tool/function calling.
• Strong software architecture skills, including API design, event-driven systems, scalable data models, and enterprise integrations.
• Experience evaluating and optimizing AI systems for quality, safety, reliability, cost, latency, and token usage.
• Knowledge of secure software development practices, automated testing, code quality, and enterprise compliance requirements.

Preferred Skills and Qualifications

• Experience applying AI within application security, DevSecOps, code analysis, or software supply-chain security.
• Experience with Model Context Protocol (MCP) and building tools or skills for AI agents.
• Familiarity with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, or Devin.
• Knowledge of OWASP guidance for LLM applications and the NIST Secure Software Development Framework.
• Experience with AI evaluation frameworks, guardrails, and production LLMOps.
• Experience with prompt/response caching and production cost and performance optimization.
• Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.