Remote Senior AI Engineer - SDLC & LLM Automation

Veripark; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work freedom

Performance bonus

Health benefits

Birthday leave

Training & development

Global project exposure

Job summary

VeriPark is seeking a Senior AI Engineer to design, build, and scale AI-powered SDLC solutions across requirements, design, development, testing, and release. The role emphasizes LLM selection, cost optimization, and producing reusable assets for delivery teams.

You will integrate AI with Jira, Confluence, Azure DevOps, and GitHub, evaluate models, and drive cost-efficient AI practices while collaborating with global clients.

Qualifications

• 7+ years of software engineering experience, including 2+ years of GenAI/LLM development.
• Experience applying AI to the SDLC (requirements, design, coding, testing, release).
• Hands-on with AI coding assistants and AI tooling in production environments.
• Fluent in English; experience with regulated industries is a plus.

Responsibilities

• Design, build, and scale AI-driven SDLC solutions across the full lifecycle.
• Integrate AI into Jira, Confluence, Azure DevOps, and GitHub via MCP/APIs.
• Evaluate models, determine cost/performance, and optimize prompts and routing.
• Pilot solutions on live projects and document handover and guidance.

Skills

GenAI/LLM development

AI integration

CI/CD practices

Cloud platforms

English fluency

API integration

Education

Bachelor's degree in Computer Science

Master's in AI/ML (plus)

Tools

Claude Code

GitHub Copilot

Azure DevOps

Jira

Confluence

GitHub APIs

Azure AI Foundry

Job description

VeriPark is seeking a Senior AI Engineer to design, build, and scale AI-powered SDLC solutions across requirements, design, development, testing, and release. The role emphasizes LLM selection, cost optimization, and producing reusable assets for delivery teams.

You will integrate AI with Jira, Confluence, Azure DevOps, and GitHub, evaluate models, and drive cost-efficient AI practices while collaborating with global clients.