AI/ML Engineer – Agentic AI

Role Overview

We are looking for an experienced AI/ML Engineer with expertise in Agentic AI to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate should have strong experience in Python, LLMs, RAG, multi-agent systems, and cloud platforms.

Responsibilities

• Design and deploy enterprise-grade autonomous AI agents.
• Build AI workflows with reasoning, planning, memory, and task orchestration.
• Develop RAG pipelines using vector databases and embedding models.
• Integrate AI agents with enterprise applications and APIs.
• Implement tool calling, guardrails, and feedback mechanisms.
• Deploy AI solutions using Docker, Kubernetes, and cloud services.
• Ensure Responsible AI, security, monitoring, and observability.

Requirements

• Strong Python programming skills.
• Experience with LangGraph, LangChain, CrewAI, or AutoGen.
• Proficiency with OpenAI, Azure OpenAI, or Anthropic.
• Expertise in RAG and Vector Databases.
• Experience with Prompt Engineering and Multi-Agent Systems.
• Knowledge of REST APIs, Docker, Kubernetes, and cloud platforms (Azure, AWS, or GCP).

Nice to Have

• Semantic Kernel
• Knowledge Graphs
• Enterprise Copilot Development
• Reinforcement Learning (RL)
• LoRA Fine-Tuning
• AI Supervisor Architectures

Skills

• Python
• LangChain
• OpenAI
• Vector Databases
• Docker