AI/ML Engineer – Agentic AI

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 / Full-Time (FTE)

Work Timings: 11:00 AM - 9:00 PM

Experience: 6-8 Years

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.
• Strong knowledge of Retrieval-Augmented Generation (RAG), vector databases (FAISS, Pinecone, Azure Al Search), and embeddings.
• Experience with Docker, Kubernetes, and Azure, AWS, or GCP.
• Strong understanding of REST APIs, backend development, and enterprise integrations.

Preferred Skills

• Knowledge Graphs
• Reinforcement Learning (RL)
• Enterprise Copilot Development
• LoRA Fine-tuning
• Multi-Agent Systems

Experience

• 6 - 8 years of software engineering or Al/ML development experience.
• Proven experience building and deploying production-grade Al/ML applications.