AI Engineer
1 day ago
AI Engineer / Agentic AI DeveloperLocation: BangaloreMode: HybridJob Description: Role Overview We are seeking a highly skilled Senior AI Engineer / Agentic AI Developer to design, build, and productionize intelligent autonomous AI systems for enterprise use cases. The ideal candidate must have strong experience in LLMs, RAG, vector databases, multi-agent orchestration, backend engineering, and cloud deployments. This role blends AI solution engineering, agent development, and architecture. Key Responsibilities Architect and implement AI-powered autonomous agent workflows across enterprise processes. Design multi-agent pipelines with planning, memory, tool calling, and human-in-the-loop controls. Build and optimize RAG pipelines (chunking, hybrid search, ranking, retrieval validation, grounding). Develop API-driven backend services using Python (FastAPI / Flask). Integrate agents with enterprise APIs, CRMs, ERPs, ITSM systems, and productivity tools. Deploy on Azure / AWS / GCP, ensuring scalability, observability, and security compliance. Implement LLMOps & governance, monitoring, risk controls, evaluation, prompt versioning, and safety. Optimize latency, cost efficiency, response confidence, and hallucination reduction. Contribute to internal accelerators, reusable pipelines, and best-practice frameworks. Mentor junior team members and collaborate with business, product, and engineering stakeholders. Core Technical Skills Required Python (advanced) backend services and AI integration LLMs & Model Platforms: OpenAI, Azure OpenAI, AWS Bedrock, Google Gemini, Google AI Studio, Claude, Mistral Agentic AI & Automation Tools: LangChain, LangGraph, LangFlow, Copilot Studio, n8n, ADK (Agent Development Kit) Vector Search & RAG.Technologies: FAISS, ChromaDB, Pinecone, Weaviate, Azure AI Search AIDevelopment Platforms: Azure AI Foundry, Google AI Studio, Hugging Face, Ollama (preferred) Backend & Microservices: FastAPI / Flask / REST / GraphQL Databases: PostgreSQL / MongoDB / Redis Containers & CI/CD: Docker / Kubernetes / GitHub Actions / Azure DevOps Good to Have Experience with model fine-tuning / LoRA / QLoRA / PEFT Agent evaluation Frameworks: Ragas / DeepEval / PromptFoo Experience with document automation pipelines (OCR, PDFs, invoices, email processing) Familiarity with DevOps + security + RBAC implementation for AI platforms Hands-on experience with streaming & event-driven architecture
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