Gen AI Engineer
Fractal (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 20–40 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy end-to-end Generative AI and LLM-based solutions with ownership over impact metrics including adoption, accuracy, latency, and cost efficiency.
- Build scalable, modular, and production-grade AI systems including APIs, pipelines, RAG architectures, and reusable components across multiple business use cases and clients.
- Collaborate with cross-functional teams and stakeholders to translate ambiguous business problems into AI-driven measurable outcomes and influence AI roadmaps and decisions.
Minimum Requirements
- Proven expertise with Generative AI and NLP technologies including SaaS-based LLMs (LangChain, LlamaIndex), Azure OpenAI, prompt engineering, agentic AI frameworks, and advanced RAG systems.
- Strong programming skills in Python and experience with FastAPI, Azure DevOps, Azure Cloud services, and Databricks ecosystem technologies.
- Experience designing and maintaining production-grade deployed AI systems including architecture trade-offs across latency, cost, accuracy, and maintainability.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building modular, scalable AI systems with strong end-to-end ownership from design through deployment and maintenance in large-scale cloud environments (Azure).
- Comfortable operating across technical and business domains to deliver measurable AI impact aligned with strategic business goals.
- Familiar with advanced LLM architectures (RAG, agentic frameworks), AI governance (hallucination mitigation, bias handling), and AI operational tooling (monitoring, evaluation, CI/CD in Azure DevOps).