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Principal Software Engineer - IT - United States

Round Rock, TX, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Contract Corp To Corp

12 Months

On-site

$70 - $80/hr

Talent Software Services, Inc

Fitment

Dice Job Match Score™

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Job Details

Skills

LLM
LARGE LANGUAGE MODEL
GENAI
GENERATIVE AI
AI AGENT
AI AGENTS
AGENTIC
AGENTIC AI
MULTI-AGENT
MULTI AGENT
AGENT ORCHESTRATION
RAG
RETRIEVAL AUGMENTED GENERATION
CONTEXT ENGINEERING
CONTEXT MANAGEMENT
TOOL CALLING
FUNCTION CALLING
PYTHON
TYPESCRIPT
JAVASCRIPT
GOLANG
GO
SOFTWARE ENGINEERING
SYSTEM DESIGN
SYSTEMS DESIGN
API DESIGN

Summary

Job Title: Principal Software Engineer(AI Software Engineer / AI Agent Engineer)
Location: Round Rock, TX (Onsite)
Duration:12 Month on W2 Contract

Responsibilities

Design, build, and deploy AI-powered capabilities across the SDLC, including:
Spec Driven Development workflows that support the translation of well-formed specifications into secure, verifiable implementations
Assurance of AI-generated code - guardrails, policy enforcement, and verification for code produced by AI assistants and agents
SDLC skills and agent tooling - developer-assist skills as well as verification skills that perform automated security checks (design review, dependency and supply-chain analysis, static/dynamic analysis orchestration, release audit support)
Integrate solutions with enterprise systems - source control, CI/CD, ticketing, security scanning, identity, and internal platforms - through 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
Apply sound architecture and systems design practices: well-defined service boundaries, appropriate data models, secure defaults, observability, and extensibility

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
Bachelor''s or master''s degree in computer science or a related field, or equivalent practical

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: talmn001
Position Id: 26-10302
Posted 1 day ago

Company Info

About Talent Software Services, Inc

We pride ourselves in making sure that diversity in the workplace is at the forefront of our business. Our Founder, Dave Iacarella, is an Army Veteran who is committed to giving back to fellow Veterans. We are proud of our history of transitioning military Veterans into the workforce with companies that value their service. TALENT helps companies meet their veteran and diversity spend initiatives and requirements. We are committed to supporting veteran and diverse organizations.

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