Data Scientist Agentic Developer

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Who we are

CAI is a global services firm with over 9000 associates worldwide and a yearly revenue of $1.3 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Job Description

We are looking for a Data Scientist - Agentic Developer to design cutting-edge AI solutions and autonomous systems focused on agentic workflows and generative AI technologies. This position will be full-time hybrid and based in Bangalore.

What Youll Do
Agentic AI & Automation

• Design develop and deploy multi-agent systems and agentic applications using frameworks like AutoGen LangGraph CrewAI or similar
• Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
• Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
• Develop automation solutions using OpenAPI standards for integration with enterprise systems
• Create self-healing adaptive workflows that optimize business processes autonomously

Generative AI & LLM Solutions

• Use ML deep learning and Generative AI tools to design evangelize and implement state-of-the-art solutions
• Define and implement best practices for building testing and deploying scalable AI solutions with a focus on generative models and LLMs using proprietary or open-source models
• Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions

Technical Implementation

• Work closely with internal teams to integrate RAG workflows agent-based systems and automation frameworks into applications
• Design and implement architectural solutions for Information Retrieval using RAG Vector DBs and Knowledge Graphs
• Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs agents and orchestration systems
• Evaluate build and fine-tune ML models and LLMs to solve complex business problems
• Stay abreast of latest developments in agentic AI autonomous systems language models and generative AI technologies.

What Youll Need

Required:

Education & Experience

• BE Masters or Ph.D. in Computer Science Artificial Intelligence Machine Learning or equivalent practical experience
• 8 years of overall technical experience with 2-3 years of hands-on experience in Generative AI and LLM technologies
• 1 years of experience building agentic systems workflow automation or autonomous AI applications

Agentic AI & Workflow Expertise

• Deep hands-on experience with agentic frameworks (AutoGen LangGraph CrewAI Agency Swarm or similar)
• Strong knowledge of workflow orchestration tools and patterns (Temporal Airflow Prefect or similar)
• Expertise in OpenAPI standards Agent-to-Agent (A2A) protocols and Model Context Protocol (MCP)
• Experience designing multi-agent architectures with memory planning and tool-use capabilities
• Knowledge of agent evaluation testing frameworks and observability patterns

LLM & Generative AI

• Proven track record of deploying and optimizing LLM models for inference in production environments
• Extensive experience with LLM orchestration frameworks (LangChain LlamaIndex required)
• Hands-on experience with Amazon Bedrock SageMaker JumpStart and other cloud-based LLM platforms
• Expertise in RAG architectures Fine-tuning techniques and Prompt Engineering
• Deep understanding of Vector Databases (Pinecone Weaviate Milvus ChromaDB) and Knowledge Graphs

ML/DL Foundations

• Expert in NLP techniques and deep learning libraries (Transformer models LSTM BiLSTM CNN BERT GPT T5)
• Proficiency with ML frameworks: TensorFlow PyTorch Hugging Face Transformers scikit-learn
• Strong programming skills in Python (required) plus JavaScript/TypeScript or
• Deep understanding of data structures algorithms and system design patterns

MLOps/LLMOps

• Hands-on experience in MLOps/LLMOps including data pipelines model training/refinement validation drift management and serving
• Experience with containerization (Docker Kubernetes) and CI/CD pipelines for ML systems
• Knowledge of monitoring logging and observability tools for production AI systems.

Preferred:

• Experience with function calling tool use and external API integration in agent systems
• Knowledge of reinforcement learning and agent training methodologies
• Familiarity with semantic reasoning planning algorithms (ReAct Chain-of-Thought Tree-of-Thoughts)
• Experience with graph databases (Neo4j Neptune) and ontology design
• Contributions to open-source AI/ML projects
• Publications or patents in AI/ML domain.

Physical Demands

• Ability to safely and successfully perform the essential job functions
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc
• Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).