AI Platform/ Generative AI / LLM Engineer - Python Development

AI Platform/ Generative AI / LLM Engineer Job Title: AI Platform Engineer – LLM, Agentic AI & Python Development Experience: 6-8 Years Engagement: Full-Time Work Mode: Pune (Hybrid) Notice Period: Immediate to 15 days OR Serving NP

We are hiring an AI Platform Engineer to join a central AI Centre of Excellence (CoE) and drive AI-first engineering across the organization. This role focuses on embedding AI into the Software Development Lifecycle (SDLC)—not as an add-on, but as a core engineering capability. You will build production-ready AI integrations, internal tools, and agentic workflows that enhance development, testing, and deployment processes.

AI Workflow Analysis & Strategy • Analyze existing SDLC workflows (planning, development, testing, deployment) • Identify high-impact AI integration opportunities • Provide actionable insights and scalable AI adoption frameworks Hands-on AI Development • Build internal tools and automation using Python • Develop LLM-powered applications and integrations • Containerize and deploy solutions using Docker Agentic AI & Automation • Design and implement multi-agent workflows using frameworks like LangChain, LangGraph, AutoGen, or CrewAI • Integrate AI solutions into CI/CD pipelines (GitHub, Azure DevOps, GitLab) • Apply structured, spec-driven development for AI workflows LLMOps & AgentOps • Manage lifecycle of LLM integrations (prompt versioning, monitoring, cost tracking) • Ensure observability, logging, and performance of AI systems • Implement AI quality checkpoints in engineering workflows AI Evaluation & Guardrails • Design guardrails for safe and reliable AI outputs • Conduct evaluations for accuracy, reliability, and edge cases • Address hallucination risks and ensure output quality AI-Driven Engineering Culture • Use AI coding tools (GitHub Copilot, Cursor) to enhance productivity • Support engineering teams in adopting AI-first practices

& Experience • 6–8 years of software development experience • Strong proficiency in Python • Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) • Experience in prompt engineering and structured outputs • Exposure to agentic AI frameworks (LangChain, LangGraph, AutoGen, CrewAI) • Understanding of LLMOps / AgentOps practices • DevOps knowledge: CI/CD, Docker, Git workflows • Experience using AI coding assistants (GitHub Copilot / Cursor)