Join us as a Senior AI Engineer / Data Scientist to build enterprise-scale AI and machine learning solutions.

About the Company

SRM Technologies is at the forefront of technological advancement, specializing in cutting-edge solutions that leverage artificial intelligence, machine learning, and data science. We are dedicated to delivering impactful, innovative technology solutions to our clients across various sectors.

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 demands a mix of Data Science and AI Engineering skills to develop next-generation autonomous 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 cutting-edge technologies such as LangGraph, LangChain, AutoGen, CrewAI, OpenAI Agent Framework, and Microsoft Copilot Studio.

Large Language Models (LLMs)

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

Data Science & Machine Learning

• Develop predictive and prescriptive analytics models.
• Build advanced recommendation systems and forecasting solutions utilizing statistical analysis and machine learning techniques.

AI Engineering Responsibilities

• Develop scalable AI services and APIs, enterprise-grade AI microservices, and AI governance frameworks.

Tech Stack

Programming Languages:

• Python (Mandatory)
• SQL

Frameworks and Tools:

• Scikit-Learn
• XGBoost
• TensorFlow
• PyTorch
• Hugging Face

Cloud Platforms:

• Azure (Preferred)
• AWS Bedrock
• Amazon SageMaker
• Google Vertex AI

APIs and Architectures:

• REST APIs
• GraphQL

Other Technologies:

• FastAPI
• Microservices Architecture
• Event-Driven Architecture

Required Qualifications

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 Have

• 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

Benefits

• Competitive salary
• Opportunities for professional development
• Flexible work schedules
• Health benefits and allowances
• Participation in innovative AI projects