Ai Engineer - ZL
Listed on 2026-08-08
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Software Development
AI Engineer (Applied/Software), AI QA / Validation Engineer, Python, Cloud Engineer - Software
- Experience with:
- Automated testing frameworks
- Familiarity with LLM frameworks, prompt engineering, and AI tooling
- 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
- Strong communications
- Agile
- Collaborative
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.
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
- 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
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