Senior AI Engineer Data Scientist Agentic AI

Senior AI Engineer / Data Scientist (Agentic AI)| SRM Tech

About SRM Tech

SRM Technologies is a global digital and engineering partner delivering capabilities across data and AI, enterprise platforms, embedded and platform engineering, supply chain, and design-to-manufacturing services.

We work across high-impact industries such as Mobility, Life Sciences, Healthcare, and Logistics, supporting enterprises across North America, APAC, and Europe in building intelligent, future-ready ecosystems and driving transformation at scale.

As a Great Place to Work®-certified organization, we are committed to creating an environment where people can learn, grow, and thrive. We believe empowered individuals drive innovation, deliver value to customers, and play a meaningful role in shaping our collective success.

At SRM Tech, every contribution matters, and we are always looking for passionate individuals who are eager to shape their careers with us.

Role: Senior AI Engineer / Data Scientist (Agentic AI)

Location: Chennai – 5 days WFO

Preferred Experience:

Total Years of Exp:

8+ years in Data Science, Machine Learning, AI Engineering, or Software Engineering.

Relevant Domain Experience

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.

About the Role:

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:

• Design and develop Agentic AI solutions using autonomous and multi-agent frameworks such as LangGraph, LangChain, AutoGen, CrewAI, OpenAI Agent Framework, and Microsoft Copilot Studio.
• Build intelligent AI agents and copilots with reasoning, planning, memory management, tool integration, workflow automation, and decision-making capabilities.
• Develop enterprise-scale Generative AI applications including virtual assistants, business agents, customer service automation, and decision intelligence platforms.
• Implement Retrieval-Augmented Generation (RAG) architectures, semantic search solutions, and knowledge retrieval systems leveraging vector databases like Azure AI Search and Milvus.
• Fine-tune, optimize, and evaluate Large Language Models (LLMs) through prompt engineering, prompt tuning, model evaluation, and performance benchmarking.
• Develop predictive and prescriptive analytics solutions using advanced machine learning, statistical modeling, recommendation systems, and forecasting techniques.
• Build and deploy ML/AI models using Python-based frameworks including Scikit-Learn, XGBoost, TensorFlow, PyTorch, and Hugging Face.
• Engineer scalable AI platforms and APIs through microservices architecture, FastAPI, REST APIs, GraphQL, and event-driven architectures.
• Create reusable AI accelerators, frameworks, and enterprise AI services to drive standardization, scalability, and innovation across business functions.
• Establish AI governance, observability, monitoring, and Responsible AI frameworks with model performance tracking, safety controls, and guardrails.
• Leverage cloud-native AI services with expertise in Azure OpenAI, Azure AI Search, Azure Machine Learning, and exposure to AWS Bedrock, SageMaker, and Google Vertex AI.
• Demonstrate strong software engineering and data skills, including Python (mandatory), SQL, API integration, cloud deployment, and enterprise application development.

Technical Skills:

Must Have

• Agentic AI Frameworks
• Generative AI & Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) Architecture
• Vector Databases
• Python Development
• Machine Learning & Data Science
• Azure AI Services
• MLOps & CI/CD
• REST API Development
• Cloud Architecture

Good to have

• Semantic Kernel
• Microsoft Fabric
• Databricks
• Knowledge Graphs
• GraphRAG
• Multi-Agent Systems
• AI Governance Frameworks
• Microsoft Copilot Studio

Required Qualification:

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related discipline.
• Strong academic foundation in AI, Machine Learning, Data Analytics, Software Engineering, or related technical domains.
• Relevant certifications in Cloud, AI, Data Science, or Generative AI technologies are a plus.
• Demonstrated understanding of software development, machine learning concepts, and modern AI architectures.
• Continuous learning mindset with a passion for emerging AI, Generative AI, and Agentic AI technologies.

SRM Tech is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We make all hiring decisions based on merit, without bias or discrimination, in line with applicable laws.