We are seeking an experienced *AI/ML Engineer specializing in Agentic Al* to design, develop, and
deploy enterprise-grade autonomous Al systems powered by Large Language Models (LLMs). The ideal
candidate will have strong expertise in Python, Agentic Al frameworks, Retrieval-Augmented Generation
(RAG), cloud platforms, and production deployment of Al agents.

You will be responsible for building intelligent Al agents capable of reasoning, planning, tool usage,
memory management, and autonomous decision-making while ensuring scalability, security, and
responsible Al practices.

Location: Hyderabad (Hybrid - 5 Days Working)
Employment Type: C2C
Work Timings: 11:00 AM - 9:00 PM
Experience: 6-8 Years
Budget: ₹97500 - ₹1,10,000 (based on skills)
Minimum Experience Required: 6 years of relevant/Software Engineering or Al/ML development
experience. Applications from candidates with less than 6 years of experience will not be considered.

Key Responsibilities
Design, develop, and deploy autonomous Al agents for enterprise applications.




Build intelligent workflows with multi-step reasoning, planning, and task orchestration.
Develop scalable Al applications using Python and Agentic Al frameworks.
Build and optimize RAG pipelines using vector databases and embedding models.
Integrate Al agents with enterprise applications, APIs, databases, and SaaS platforms.
Deploy Al solutions using Docker, Kubernetes, and cloud platforms.
Monitor, evaluate, and optimize Al systems for performance, cost, safety, and reliability.
Implement Responsible Al practices, security guardrails, and human-in-the-loop workflows.

Required Skills
Expert-level Python programming.
Hands-on experience with Agentic Al frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
Experience with OpenAl, Azure OpenAI, Anthropic, or other LLMs.
Solid knowledge of Retrieval-Augmented Generation (RAG), vector databases (FAISS, Pinecone, Azure Al Search), and embeddings.
Experience with Docker, Ku

📌 AI/ML Engineer – Agentic AI (Hyderabad)
🏢 OptiLnX
📍 Hyderabad