Job Description

Job Title

AI/ML Engineer - Generative AI (Agentic Systems)

Role Overview

We are seeking an

AI/ML Engineer specializing in Generative AI and Agentic Systems

to design, build, and deploy

autonomous, tool-using AI agents

powered by Large Language Models (LLMs). You will work on

multi-agent architectures, RAG pipelines, orchestration frameworks, and production-grade GenAI platforms

that solve real-world business problems.

Key ResponsibilitiesGenerative AI & Agentic Systems

Design and implement

agentic AI systems

(single-agent and multi-agent). Build

tool-using agents

capable of reasoning, planning, and executing tasks autonomously. Develop

agent orchestration workflows

using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestrators. Implement

memory, planning, reflection, and retry strategies

for agents. Optimize prompt templates, system instructions, and agent communication protocols.

RAG & Knowledge Systems

Build

Retrieval-Augmented Generation (RAG)

pipelines using embeddings and vector databases. Integrate structured and unstructured data sources (documents, APIs, databases). Optimize retrieval quality, grounding, and hallucination reduction.

LLMs & Model Engineering

Work with

commercial and open-source LLMs

(OpenAI, Claude, Gemini, LLaMA, Mistral). Fine-tune models using

LoRA / QLoRA / PEFT

where required. Implement evaluation frameworks for

agent accuracy, grounding, latency, and cost

.

ML Systems & Deployment

Build end-to-end

GenAI pipelines

(training ? evaluation ? deployment). Deploy agentic systems as scalable APIs using

FastAPI / Flask

. Implement

monitoring, logging, feedback loops, and drift detection

. Optimize inference cost, latency, and throughput.

Collaboration & Innovation

Work closely with product, platform, and backend teams. Translate ambiguous business problems into autonomous AI solutions. Stay current with agentic AI research and emerging tools.

Required Qualifications

Strong foundation in

AI/ML and Deep Learning

. Hands-on experience with

Generative AI and LLMs

. Strong proficiency in

Python

. Experience building

agentic or tool-calling AI systems

. Experience with

RAG pipelines and embeddings

. Familiarity with

FastAPI / REST APIs

. Experience deploying ML systems to production. Solid understanding of

Linux, Git, and CI/CD

.
Job Types: Full-time, Permanent

Pay: From ?100,000.00 per month

Benefits:

Health insurance Paid sick time Paid time off
Work Location: In person