Job Summary

We are seeking a highly motivated GenAI / Agentic AI Developer to join our AI Engineering team and build next-generation AI-powered solutions. The ideal candidate will have hands-on experience developing applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and enterprise AI platforms. This role involves designing, developing, and deploying intelligent AI agents that can reason, plan, act, and integrate with enterprise systems to automate business processes and enhance user productivity.

Key Responsibilities

Design and develop enterprise-grade GenAI and Agentic AI applications.
Build autonomous and semi-autonomous AI agents capable of reasoning, planning, and executing complex workflows.
Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
Integrate LLMs with internal systems, APIs, databases, and business applications.
Create multi-agent orchestration frameworks for complex business use cases.
Develop copilots, virtual assistants, and AI-powered decision-support systems.
Fine-tune prompts and optimize model performance, latency, and cost.
Build secure, scalable, and production-ready AI services and APIs.
Collaborate with product managers, architects, and domain experts to define AI solution roadmaps.
Evaluate emerging GenAI technologies and recommend their adoption.

Skill Requirements

GenAI & LLMs
Agentic AI
LangGraph
LangChain
CrewAI
Multi-Agent Systems
Agent Orchestration Frameworks
Tool Calling & Function Calling
RAG & Knowledge Systems
Retrieval-Augmented Generation (RAG)
Vector Databases
Embedding Models
Knowledge Graphs
Python (Mandatory)
FastAPI / Flask

Other Requirements

Prompt Engineering and Prompt Optimization.
Fine-tuning and model customization.
Model evaluation and benchmarking.
AI guardrails and responsible AI practices.
REST APIs