Systems Engineering Services is seeking an AI Engineer based in the Washington DC area for a Hybrid role, 3 days in office in downtown DC a week.
Top 5 Technical Skills:
- SDLC Automation & Acceleration
- Agentic Engineering & Workflow Design
- AI Application & Platform Engineering
- Testing, Validation & Governance
- Strong programming skills (Python preferred)
- Experience with:
- CI/CD pipelines, Git, APIs
- Cloud platforms (AWS preferred)
- Automated testing frameworks
- Familiarity with LLM frameworks, prompt engineering, and AI tooling
Top 3 Soft Skills:
- Strong communications
- Agile
- Collaborative
Role Overview
We are seeking a hands on AI Engineer to design and implement AI enabled software engineering solutions that accelerate the Software Development Lifecycle (SDLC) through specification driven development and agentic workflows.
This role will focus on transforming business requirements into machine readable specifications that drive downstream automation of code, testing, and deployment, improving engineering velocity, quality, and traceability.
Key Responsibilities 1. Spec Driven Development Enablement
- Translate business requirements into structured, machine, readable specifications
- Implement spec as source of truth frameworks driving code, test, and workflow generation
- Build integration across specs, agents, repositories, CI/CD pipelines
2. SDLC Automation & Acceleration
- Design AI enabled workflows across discovery, build, test, and deployment phases
- Automate generation of:
- Code artifacts
- Test cases and validation logic
- Technical documentation
- Improve SDLC efficiency through AI driven orchestration and reusable knowledge bases
3. Agentic Engineering & Workflow Design
- Design and implement AI agents and multi agent systems for development tasks
- Build orchestration layers ( harness ) to ensure:
- Repeatability
- Consistency
- Governance across teams
- Enable persona?based workflows (developer, reviewer, tester)
4. AI Application & Platform Engineering
- Develop AI powered developer tools, including:
- Code generation assistants
- Test automation agents
- Knowledge retrieval systems (RAG)
- Integrate AI systems with enterprise platforms, APIs, and data pipelines
- Deploy scalable solutions in cloud environments (e.g., AWS)
5. Testing, Validation & Governance
- Implement automated validation frameworks to ensure outputs align with specifications
- Design guardrails for:
- Accuracy
- Security
- Compliance
- Monitor AI systems for reliability, cost, and performance
Required Qualifications
- Bachelor s degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of experience in:
- Software engineering, AI/ML engineering, or related roles
- Strong programming skills (Python preferred)
- Experience with:
- CI/CD pipelines, Git, APIs
- Cloud platforms (AWS preferred)
- Automated testing frameworks
- Familiarity with LLM frameworks, prompt engineering, and AI tooling
Nice to have: Python, Java
Jake Lutman
Technical Recruiter
Systems Engineering Services
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