Senior Generative AI / Agentic AI Engineer
Arrow Ec10+ yrsAhmedabadOn-siteDirect career pageEst. 25–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of production-grade generative AI and agentic AI solutions using Python or .NET.
- Architect and implement GenAI systems including RAG pipelines, LLM fine-tuning, prompt engineering, and Knowledge Graph technologies on Azure cloud services.
- Manage and mentor engineering teams (5–15 members), oversee project delivery with focus on scalability, security, and adherence to best practices.
Minimum Requirements
- 10–12+ years industry experience with at least 2–4 years in a Generative AI technical lead or team lead role.
- Strong development skills in Python or .NET, with hands-on experience on Generative AI/LLM systems (e.g. OpenAI, Azure OpenAI) and Azure cloud services (Functions, AI Search, Cosmos DB).
- Experience with Knowledge Graphs, vector databases, RAG pipelines, and Cosmos DB database design (SQL API, indexing, partitioning).
- Work Experience Required: 10–12+ years overall; 2–4 years in GenAI leadership role. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end ownership of scalable, cloud-native GenAI platforms on Azure with expertise in embedding management, semantic search, and AI governance.
- Skilled in team leadership and collaboration across product and architecture teams to deliver secure, enterprise-grade AI solutions.
- Comfortable working in agile environments with proficiency or willingness to upskill in CI/CD, DevOps, microservices, container orchestration, and security best practices.