Artificial Intelligence Engineer

Job Title: AI Engineer

Employment Type: Contract

Job Mode: Hybrid

Location: Alderly Park, UK

Primary Skill

• Experience with Python and modern application development.
• Experience with LLMs, prompt engineering, RAG, embeddings, and AI agents.

Key Responsibilities

AI-Powered SDLC Automation:

• Build AI solutions across the software development lifecycle.
• Convert vague business requirements into structured requirements, user stories, acceptance criteria, edge cases, and test scenarios.
• Improve engineering readiness using AI.

Requirements & Product Engineering Intelligence:

• Build AI assistants that understand business problems and generate Jira/ ADO ready work items.
• Identify missing information, risks, and technical considerations.

Design-to-Code Automation:

• Develop AI workflows using design artifacts such as Figma.
• Analyse wireframes, generate frontend/ backend code, and improve design-to-development consistency.

AI-Assisted Engineering:

• Build AI coding assistants and GitHub integrations.
• Enable code generation, code review assistance, peer review summaries, refactoring suggestions, and automated pull request creation.

Testing & Quality Engineering:

• Build AI-powered testing workflows.
• Generate unit tests, integration tests, regression tests, and UI automation using frameworks such as Playwright.
• Improve defect prevention and test coverage.

AI-Driven DevOps and SRE:

• Apply AI for log analysis, anomaly detection, incident correlation, root cause analysis, and operational recommendations.
• Integrate AI into CI/CD and observability workflows.

Required Skills:

• Strong software engineering background.
• Experience with Python and modern application development.
• Experience with LLMs, prompt engineering, RAG, embeddings, and AI agents.
• Experience integrating AI with GitHub, Jira, CI/CD, developer tools, and cloud platforms.
• Understanding of testing, DevOps, observability, and SRE practices.

Success Metrics:

• Reduction in delivery cycle time.
• Faster requirements-to-production flow.
• Improved developer productivity.
• Increased automated test coverage.
• Reduced escaped defects.
• Faster code reviews and improved reliability.

Typical Deliverables:

• AI requirement and acceptance criteria generator.
• AI Jira automation.
• Figma-to-code acceleration.
• AI-generated PR workflows.
• Automated test generation.
• AI code review assistant.
• AI-powered SRE intelligence platform.

📩 Interested candidates can apply directly or share their updated resume at n.borkar@solvex-solutions.com.