AI/ML Engineer - Agentic AI

About the Role :

We are looking for a highly skilled AI/ML Engineer Agentic AI to design, build, and deploy enterprise-grade autonomous AI systems powered by Large Language Models (LLMs).

This role requires expertise in developing intelligent AI agents capable of reasoning, planning, tool execution, memory management, and autonomous decision-making.

The ideal candidate will have strong hands-on experience with Python, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), cloud platforms, and production-scale AI deployments.

Key Responsibilities :

• Design, develop, and deploy enterprise-grade autonomous AI agents.

• Build intelligent workflows capable of multi-step reasoning, planning, and task orchestration.

• Develop scalable AI applications using Python and modern Agentic AI frameworks.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

• Integrate AI agents with enterprise applications, APIs, databases, and third-party SaaS platforms.

• Build conversational memory architectures, including both short-term and long-term memory.

• Implement planning, reasoning, feedback loops, and self-correction mechanisms.

• Develop secure tool-calling capabilities with validation, retries, timeout handling, and guardrails.

• Deploy AI applications using Docker, Kubernetes, and cloud-native services.

• Monitor production AI systems through logging, tracing, prompt management, and observability.

• Build evaluation frameworks to measure task success, latency, cost optimization, safety, and hallucination rates.

• Ensure Responsible AI practices, including data privacy, explainability, and human-in-the-loop workflows.

• Collaborate with cross-functional teams to deliver scalable enterprise AI solutions.

Required Technical Skills : 1. Programming & Backend Development :

• Expert-level proficiency in Python.

• Strong understanding of asynchronous programming, concurrency, and task scheduling.

• Experience developing scalable backend services and RESTful APIs.

2. Agentic AI :

• Design and development of autonomous AI agents.

• Multi-step reasoning and planning.

• Goal decomposition and workflow orchestration.

• Dynamic decision-making under uncertainty.

• Experience with ReAct, Plan-and-Execute, and Reflexive Agent architectures.