Overview

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

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.

Qualifications

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

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.