Ai Engineer - ZL

Top 5 Technical Skills:

1. SDLC Automation & Acceleration
2. Agentic Engineering & Workflow Design
3. AI Application & Platform Engineering
4. Testing, Validation & Governance
5. Strong programming skills (Python preferred)
6. Experience with:
7. CI/CD pipelines, Git, APIs
8. Cloud platforms (AWS preferred)
9. Automated testing frameworks
10. Familiarity with LLM frameworks, prompt engineering, and AI tooling

Top 3 Soft Skills:

1. Strong communications
2. Agile
3. Collaborative

Company / Project Description / Business Driver

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