Data Scientist - Agentic Developer

Data Scientist - Agentic Developer

Req number: R7125

Employment type:

Full time

Worksite flexibility:
Hybrid

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.

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.

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
.

• Design, develop, and deploy multi‑agent systems and agentic applications using frameworks like Auto Gen, Lang Graph, 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

• 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

• 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

• 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

• Deep hands‑on experience with agentic frameworks (Auto Gen, Lang Graph, 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

• Proven track record of deploying and optimizing LLM models for inference in production environments
• Extensive experience with LLM orchestration frameworks (Lang Chain, Llama Index required)
• Hands‑on experience with Amazon Bedrock, Sage Maker Jump Start, and other cloud‑based LLM platforms
• Expertise in RAG architectures, Fine‑tuning techniques, and Prompt Engineering
• Deep understanding of Vector Databases (Pinecone, Weaviate, Milvus, Chroma
  
  DB) and Knowledge Graphs

• Expert in NLP techniques and deep learning libraries…