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Job Overview:
Full-Stack Gen AI Engineer - Model/Anlys/Valid Intmd Anlyst (C11)
The responsibility includes but not limited to the following activities:
- AI Workflow Development: Implement end-to-end agentic AI workflows using frameworks like LangGraph, CrewAI, and AutoGen, focusing on reasoning, tool use, and memory.
- LLM Orchestration: Build and optimize retrieval pipelines, memory layers, and tool-use sequences using frameworks like LangChain.
- Backend & API Engineering: Develop robust, scalable Python-based microservices and REST APIs using FastAPI to expose AI capabilities.
- RAG Implementation: Construct and refine Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding, and vector search integration with databases like Azure AI Search or Pinecone.
- Containerization & Deployment: Package AI services using Docker and deploy them on Kubernetes, contributing to CI/CD pipelines for smooth and reliable releases.
- Observability & Evaluation: Instrument AI workflows using platforms like Langfuse for tracing and debugging. Implement and maintain evaluation harnesses to ensure model quality and performance.
- Engineering Excellence: Actively participate in code reviews, contribute to technical documentation, and collaborate with team members to uphold high engineering standards.
Qualifications:
- 4+ years of skilled experience in a role blending software development and data science/machine learning.
- Strong Python development expertise for AI systems and backend services.
- Experience building production APIs with FastAPI and microservices architecture.
- Proficiency with Docker and Kubernetes for containerized deployments.
- Hands-on experienc
📌 Risk Modeling Solutions (Mumbai)
🏢 Citi
📍 Mumbai