Job Information
CAI Data Scientist - Agentic Developer in India
Data Scientist - Agentic Developer
Req number:
R7125
Employment type:
Full time
Worksite flexibility:
Hybrid
Who we are
CAI is a global services firm with over 9,000 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 right—whatever 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
As the Data Scientist - Agentic Developer, you will be responsible for designing, developing, and deploying state-of-the-art agentic systems, automation solutions, and generative AI applications to enable autonomous decision-making and optimize business processes.
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 You’ll 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 You'll Need
Required:
Education & Experience
BE, Master's 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 Node.js
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 application.accommodations@cai.io or (888) 824 – 8111.