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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, Rapid 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.
DevOps & Engineering Practices: GitHub Actions, GitLab CI, CI/CD pipelines, source control, automated testing, production deployment practices, observability and monitoring.
Preferred Technologies: Rust, Go, Kubernetes, OpenShift, advanced vector database platforms, enterpris

📌 EY - GDS Consulting - AIA - Gen AI - Senior (Bengaluru)
🏢 EY
📍 Bengaluru