Job

Description

Senior

AI Engineer / Data Scientist (Agentic AI)
Experience: 8+ Years
Location: Office
Employment Type: Full-Time / Consultant

Role

Overview

We are

seeking a highly skilled Senior AI Engineer / Data Scientist with 8+
years of experience in building enterprise-scale AI, Machine Learning, Data
Science, and Generative AI solutions. The ideal candidate should possess strong
expertise in designing and implementing Agentic AI systems, multi-agent
architectures, LLM orchestration frameworks, RAG pipelines, and AI-driven
automation solutions.
This role
requires a mix of Data Science, AI Engineering, MLOps, Cloud Engineering,
and Software Development skills to develop next-generation autonomous AI
platforms that deliver measurable business outcomes.

Key

Responsibilities

Agentic

AI & Generative AI

Design and develop Agentic AI solutions using autonomous and
multi-agent frameworks.
Build AI agents capable of reasoning, planning, tool usage, memory
management, and workflow orchestration.
Implement multi-agent systems for enterprise workflows, analytics,
customer service, and decision intelligence.
Develop AI copilots, virtual assistants, and autonomous business
agents.

Design AI orchestration architectures using

LangGraph

LangChain

AutoGen

CrewAI

OpenAI Agent Framework

Microsoft Copilot Studio

Large

Language Models (LLMs)

Fine-tune and optimize LLMs for enterprise use cases.
Implement prompt engineering, prompt tuning, and evaluation
frameworks.
Develop RAG (Retrieval Augmented Generation) architectures.
Build semantic search and knowledge retrieval solutions.

Integrate vector databases such as

Milvus

Data

Science & Machine Learning

Develop predictive and prescriptive analytics models.
Build recommendation systems and forecasting solutions.
Apply advanced statistical analysis and machine learning
techniques.
Design feature engineering pipelines and model optimization
strategies.

Build and deploy models using

Scikit-Learn

XGBoost

TensorFlow

PyTorch

Hugging Face

AI

Engineering Responsibilities

Develop scalable AI services and APIs.
Build enterprise-grade AI microservices.
Create reusable AI accelerators and frameworks.
Design AI governance and observability frameworks.
Implement AI monitoring and model performance tracking.
Develop AI safety, guardrails, and responsible AI controls.

Cloud

& Platform Engineering

Azure

(Preferred)

Azure OpenAI

Azure AI Search

Azure Machine Learning

Other

Cloud Platforms

AWS Bedrock

Amazon SageMaker

Google Vertex AI

Software

Development Skills

Strong

hands-on programming expertise in:

Python (Mandatory)

SQL

REST APIs

GraphQL

Experience

with:

FastAPI

Microservices Architecture

Event-Driven Architecture

Education

Bachelor's or Master's degree in

Computer Science

Data Science

Artificial Intelligence

Machine Learning

Engineering

Related Discipline

Experience

8+ years in Data Science, Machine Learning, AI Engineering, or
Software Engineering.
3+ years of hands-on experience with Generative AI and LLMs.
2+ years of hands-on experience implementing Agentic AI solutions.
Experience delivering enterprise-scale AI platforms.

Required

Technical Skills

Must

✅ Agentic AI Frameworks

✅ Generative AI & LLMs

✅ RAG Architecture

✅ Vector Databases

✅ Python Development

✅ Machine Learning & Data Science

✅ Azure AI Services

✅ MLOps & CI/CD

✅ REST APIs

✅ Cloud Architecture

Good to

Have

✅ Semantic Kernel

✅ Microsoft Fabric

✅ Databricks

✅ Knowledge Graphs

✅ GraphRAG

✅ Multi-Agent Systems

✅ AI Governance Frameworks

✅ Copilot Studio

Preferred

Certifications

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure Data Scientist Associate

Databricks Certified Data Engineer

AWS Machine Learning Specialty

Generative AI Certifications (Microsoft/OpenAI)

Success

Metrics

Successful deployment of enterprise AI agents.
Reduction in manual effort through AI automation.
Increased model accuracy and business adoption.
AI platform scalability, performance, and governance compliance.
Delivery of measurable business value from Agentic AI initiatives.