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Principal Software Engineer

Experis

 

Round Rock, TX, USA

Posted On: Just posted
Experience: 5+ years
Availability: Onsite
Openings: 2
Category: Principal Software Engineer
Tenure: No Preference/Any
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Description

What's the Job?

  • Design, build, and deploy AI-powered capabilities across the SDLC, including spec-driven development workflows that translate well-formed specifications into secure, verifiable implementations.
  • Assure AI-generated code quality through guardrails, policy enforcement, and verification for code produced by AI assistants and agents.
  • Apply SDLC and agent tooling skills to perform automated security checks (design review, dependency and supply-chain analysis, static/dynamic analysis orchestration, and release audit support).
  • Integrate solutions with enterprise systems (source control, CI/CD, ticketing, security scanning, identity, and internal platforms) using APIs, webhooks, and protocols such as MCP (Model Context Protocol).
  • Partner with engineering, security, product, and leadership stakeholders to define requirements, evaluate trade-offs, and support solution adoption while applying sound architecture and systems design practices (service boundaries, data models, secure defaults, observability, and extensibility).

What's Needed?

  • Demonstrated experience developing and deploying AI-based solutions in production environments with measurable business or operational impact.
  • Strong programming proficiency (e.g., Python, TypeScript/JavaScript, Go, or similar) and adherence to software engineering best practices, including testing, code quality, and maintainability.
  • Hands-on experience with modern AI/LLM development, including context engineering, agentic system design (agent loop engineering, multi-agent orchestration, tool/function calling), and context window management (token budgeting, cost and latency optimization).
  • Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility.
  • Demonstrated ability to work independently across the full delivery lifecycle—requirements analysis, solution design, implementation, deployment, and stakeholder engagement—with accountability for results

Education

Any Graduate

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