AI Developer (Python) Experience 4-8 years’ experience

Skills and attributes for success

- Candidate must possess proficiency in the following technologies:
- Core AI Engineering & LLM Frameworks: Python, LangChain, LangGraph, Auto Gen, Google Agent SDK, Model Context Protocol, Skills-based agent frameworks.

- GenAI / Agentic AI Systems: LLM application development, agentic AI architectures, multi-agent workflows, prompt engineering, AI system design, tool/function calling, enterprise AI integration.

- RAG, Embeddings & Vector Search: Retrieval-Augmented Generation pipelines, embeddings, semantic search, context retrieval strategies, Azure AI Search, Pinecone, FAISS, Redis Vector, pgvector.

- Backend & API Engineering: Python, Quick API, REST API design, scalable API platforms, event-driven systems, microservices architecture, third-party system integration.





- Cloud, Infrastructure & Containers: Azure OpenAI, Azure AI Services, Docker, Kubernetes, OpenShift, cloud-native application development, containerized deployments.

- Databases & Data Platforms: SQL, NoSQL, MongoDB, Redis, ClickHouse, database design, performance optimization, data accuracy and integrity.

- AI Model Engineering: Model fine-tuning, LoRA, BERT, LLM architecture understanding, evaluation techniques, AI performance monitoring.

- AI Governance, Security & Responsible AI: PII protection, data privacy, AI security, compliance, responsible AI practices, governance controls, monitoring and observability frameworks.

📌 GEN AI Engineer (Bengaluru)
🏢 EY
📍 Bengaluru