What are the responsibilities and job description for the AI Engineer position at Devbytes inc?
Job Title : AI Engineer
Location: Round Rock, Texas, 78682
Duration: 18 Months
Job Type : Contract (We can consider - W2)
Responsibilities:
Top Skills Details:
- Must have enterprise-scale implementation experience where they have hands on experience building Autonomous agents through production for business workflows
- Can discuss architecture decisions and business outcomes
- Demonstrate end-to-end ownership
- Understand token optimization
- Security Harness Engineering (Anyone in this space should know this)
Security Background is a huge plus:
- Experience applying AI within a security domain - application security, DevSecOps, code analysis,
threat modeling, firmware security or software supply-chain security - Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP,
including the OWASP Top 10 for LLM Applications; NIST SSDF)
Required Skills and Qualifications
- 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 - designing what informs the model\'s context window, including agentic retrieval and search, memory architectures, grounding in enterprise data, and structured outputs
- Agentic system design - agent loop engineering, multi-agent and sub-agent orchestration, and tool/function calling
- Context window management and token budgeting, including cost and latency optimization for production workloads
- Evaluation of AI system quality, reliability, and safety
- Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility
- Experience developing and/or deploying applications with large-scale impact (broad user base, high transaction volume, or organization-wide adoption)
- Experience integrating with multiple systems and platforms (REST/GraphQL APIs, CI/CD pipelines, cloud services, enterprise tooling)
- Demonstrated ability to work independently across the full delivery lifecycle - requirements analysis, solution design, implementation, deployment, and stakeholder engagement - with accountability for results
- Strong communication and collaboration skills, with the ability to convey technical concepts to both engineering and business audiences
- Working knowledge of secure development practices and experience designing solutions that meet enterprise security and compliance requirements
Preferred Skills and Qualifications
- Experience applying AI within a security domain - application security, DevSecOps, code analysis, threat modeling, firmware security or software supply-chain security
- Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP, including the OWASP Top 10 for LLM Applications; NIST SSDF)
- Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, Devin)
- Experience with AI evaluation frameworks, guardrails, prompt/response caching strategies, and LLMOps in production
- Experience mentoring engineers or leading technical enablement initiatives
- Bachelor\'s or master\'s degree in computer science or a related field, or equivalent practical experience