Senior AI Engineer / Data Scientist (Agentic AI)

Zohorecruit; Chennai District; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Zohorecruit is seeking a Senior AI Engineer / Data Scientist (Agentic AI) to architect enterprise-scale AI, machine learning, and Generative AI solutions. The role demands 8+ years of experience and expertise in Agentic AI, multi-agent architectures, LLM orchestration, RAG pipelines, and automation frameworks.

Strong data science, AI engineering, MLOps, cloud, and software development skills are essential. The candidate will design scalable AI services, implement governance, and drive AI-driven

Qualifications

• 8+ years in Data Science, ML, AI Engineering, or Software Engineering.
• 3+ years hands-on Generative AI and LLMs experience.
• 2+ years implementing Agentic AI solutions.

Responsibilities

• 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.
• Implement prompt engineering, prompt tuning, and evaluation frameworks.
• Develop RAG architectures and knowledge retrieval solutions.

Skills

Data Science

AI Engineering

MLOps

Cloud Engineering

Software Development

Education

Bachelor's or Master's degree in Computer Science

Tools

Python

SQL

REST APIs

GraphQL

FastAPI

TensorFlow

PyTorch

XGBoost

Job description

Senior AI Engineer / Data Scientist (Agentic AI)

SeniorAI Engineer / Data Scientist (Agentic AI)

Experience: 8+ Years
Location: Office
Employment Type: Full-Time / Consultant

RoleOverview

We areseeking a highly skilled Senior AI Engineer / Data Scientist with 8+years of experience in building enterprise-scale AI, Machine Learning, DataScience, and Generative AI solutions. The ideal candidate should possess strongexpertise in designing and implementing Agentic AI systems, multi-agentarchitectures, LLM orchestration frameworks, RAG pipelines, and AI-drivenautomation solutions.

This rolerequires a mix of Data Science, AI Engineering, MLOps, Cloud Engineering,and Software Development skills to develop next-generation autonomous AIplatforms that deliver measurable business outcomes.

KeyResponsibilities

AgenticAI & Generative AI

• Design and develop Agentic AI solutions using autonomous andmulti-agent frameworks.
  
• Build AI agents capable of reasoning, planning, tool usage, memorymanagement, and workflow orchestration.
  
• Implement multi-agent systems for enterprise workflows, analytics,customer service, and decision intelligence.
  
• Develop AI copilots, virtual assistants, and autonomous businessagents.
  
• LangGraph
  
• LangChain
  
• AutoGen
  
• CrewAI
  
• OpenAI Agent Framework
  
• Fine-tune and optimize LLMs for enterprise use cases.
  
• Implement prompt engineering, prompt tuning, and evaluationframeworks.
  
• Develop RAG (Retrieval Augmented Generation) architectures.
  
• Build semantic search and knowledge retrieval solutions.
  
• Integrate vector databases such as:
  
• Milvus
  

DataScience & Machine Learning

• Develop predictive and prescriptive analytics models.
  
• Build recommendation systems and forecasting solutions.
  
• Apply advanced statistical analysis and machine learningtechniques.
  
• Design feature engineering pipelines and model optimizationstrategies.
  
• Build and deploy models using:
  
• Scikit-Learn
  
• XGBoost
  
• TensorFlow
  
• PyTorch
  
• 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.
  

OtherCloud Platforms

• AWS Bedrock
  
• Amazon SageMaker
  

SoftwareDevelopment Skills

Stronghands-on programming expertise in:

• Python (Mandatory)
  
• SQL
  
• REST APIs
  
• GraphQL
  

Experiencewith:

• FastAPI
  

RequiredQualifications

Education

• Bachelor's or Master's degree in:
  
• Computer Science
  
• Data Science
  
• Related Discipline
  

Experience

• 8+ years in Data Science, Machine Learning, AI Engineering, orSoftware Engineering.
  
• 3+ years of hands-on experience with Generative AI and LLMs.
  
• 2+ years of hands-on experience implementing Agentic AI solutions.
  

RequiredTechnical Skills

MustHave

Good toHave

PreferredCertifications

• Generative AI Certifications (Microsoft/OpenAI)
  

SuccessMetrics

• 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.