IN_Senior Associate_Agentic Pipeline Engineer _GCC_Advisory_Bangalore
Salary not listed • Bengaluru Millenia • Full-time
Posted 1d ago
About the job
We are seeking an experienced Agentic Pipeline Engineer to design, develop, and operationalize AI-driven pipelines and agentic workflows. This role involves building intelligent multi-step workflows where AI agents can reason, interact with enterprise systems, use tools/APIs, retrieve relevant information, and execute tasks reliably. The ideal candidate will have strong hands-on experience in Python, Generative AI, LLM applications, agent frameworks, APIs, and cloud-based AI solutions, along with a good understanding of production-grade software engineering practices.
Responsibilities
- Design and develop Agentic AI pipelines and workflows using Large Language Models (LLMs).
- Build single-agent and multi-agent solutions for complex business use cases.
- Develop reusable components for tool calling, orchestration, prompt management, memory, routing, and workflow execution.
- Implement RAG (Retrieval-Augmented Generation) pipelines integrating enterprise data sources with LLM applications.
- Integrate agents with REST APIs, databases, vector stores, enterprise applications, and external tools.
- Build scalable backend services and APIs using Python and frameworks such as FastAPI.
- Work with agentic frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent frameworks.
- Develop and optimize embedding, retrieval, chunking, reranking, and vector-search pipelines.
- Implement appropriate guardrails, validation, error handling, observability, logging, and evaluation for GenAI applications.
- Optimize agent workflows for accuracy, latency, reliability, and cost.
- Containerize and deploy AI services using Docker and CI/CD practices.
- Collaborate with architects, engineering teams, data scientists, and business stakeholders to translate use cases into production-ready Agentic AI solutions.
- Perform unit testing, integration testing, troubleshooting, and production support for AI pipelines.
Requirements
- Strong programming experience in Python.
- Hands-on understanding of Generative AI and Large Language Models.
- Experience developing LLM-based applications and agentic workflows.
- Knowledge of agent frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, AutoGen, or similar.
- Strong understanding of RAG architecture and vector-based retrieval.
- Experience with Vector Databases / Search, such as FAISS, Pinecone, Weaviate, Chroma, Azure AI Search, or equivalent.
- Experience integrating REST APIs, databases, and enterprise applications.
- Knowledge of prompt engineering, tool/function calling, structured outputs, embeddings, and context management.
- Experience with Git, Docker, CI/CD, and API development.
- Exposure to at least one major cloud platform such as Azure, AWS, or GCP.
- 3–7 years of software engineering / AI engineering experience.
- BE / B.Tech / M.Tech / MCA or MBA degree.