Job Description – Agentic AI Engineer (8+ Years Experience)

Location: Hyderabad

Experience: 8–12 Years

Employment Type: Full-Time

Role Overview

We are seeking an experienced Agentic AI Engineer to design and build autonomous AI systems capable of reasoning, planning, tool usage, memory management, and multi-step task execution. The ideal candidate will have robust expertise in LLM-based architectures, AI agents, orchestration frameworks, and scalable backend engineering.

Key Responsibilities
Design and develop Agentic AI systems using Large Language Models (LLMs).
Build autonomous workflows involving planning, reasoning, memory, and tool orchestration
Develop multi-agent systems and AI copilots for enterprise use cases.
Integrate LLMs with APIs, databases, enterprise applications, and external tools.
Implement Retrieval-Augmented Generation (RAG) pipelines and vector search systems.
Optimize prompts, context handling, latency, and inference costs.
Develop evaluation frameworks for AI quality, safety, and reliability.
Collaborate with product,



data science, and engineering teams to deliver AI-powered solutions.
Ensure scalability, observability, and production readiness of AI platforms.
Stay updated with advancements in GenAI, Agentic AI, and open-source AI ecosystems.

Required Skills
8+ years of software engineering experience with solid backend/system design expertise.
3+ years of hands-on experience in Generative AI and LLM application development.
Strong proficiency in Python and/or Java.
Experience with LLM platforms such as OpenAI, Claude, Gemini, or open-source models.
Expertise in AI orchestration frameworks like LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
Robust understanding of RAG architectures, embeddings, vector databases, and semantic search.
Experience with vector DBs such as Pinecone, Weaviate, Chroma, FAISS, or Milvus.
Knowledge of prompt engineering, AI evaluation, and guardrails.
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