Senior Agentic AI Developer

CAI; Bengaluru; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

CAI in Bengaluru seeks a Senior Agentic AI Developer to design, build, and deploy multi-agent, generative AI systems that automate complex workflows. This full-time, hybrid role focuses on autonomous decision-making and scalable AI solutions for business processes.

You will work with AutoGen, LangGraph, and other agentic frameworks, build orchestration for autonomous tasks, and deploy LLMs across cloud and on‑prem environments, ensuring robust, observable AI systems.

Qualifications

• 3-6 years of technical experience with 2 years in Generative AI/LLMs
• 1+ years building agentic systems or autonomous AI apps
• Hands-on with agentic frameworks (AutoGen, LangGraph, CrewAI)
• Strong knowledge of workflow orchestration tools (Temporal, Airflow, Prefect)
• Expertise in OpenAPI, A2A protocols, and Model Context Protocol (MCP)
• Experience designing multi-agent architectures with memory and planning
• Knowledge of evaluation, testing, and observability for AI systems
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex)
• Hands-on with cloud LLM platforms (Bedrock, SageMaker)
• Expertise in RAG architectures, fine-tuning, and prompt engineering
• Deep knowledge of Vector DBs and Knowledge Graphs
• Proficiency in NLP and DL libraries (Transformers, BERT, GPT)
• Proficiency in ML frameworks (TensorFlow, PyTorch)
• Strong Python; also JavaScript/TypeScript/Node.js
• Experience with MLOps/LLMOps pipelines and CI/CD for ML
• Knowledge of monitoring and observability for production AI

Responsibilities

• Design, develop, and deploy multi-agent systems and agentic apps
• Build intelligent workflow orchestration for autonomous decision-making
• Implement A2A communications and MCP for agent collaboration
• Develop automation using OpenAPI standards for enterprise integration
• Create self-healing, adaptive workflows for autonomous optimization
• Apply ML/DL/Generative AI to design and deploy state-of-the-art solutions
• Establish best practices for scalable AI deployment and testing
• Lead cloud-hosted Generative AI solution delivery
• Collaborate with teams to integrate RAG workflows and agentigned systems
• Design Information Retrieval solutions using RAG, Vector DBs, and Knowledge Graphs
• Deploy LLMs/agents on AWS and on-prem infrastructure
• Fine-tune ML models/LLMs for production problems
• Stay updated on agentic AI advances and generative models

Skills

Generative AI

LLM technologies

Agentic frameworks

Workflow orchestration

OpenAPI

A2A protocols

Memory/Planning

RAG architectures

Knowledge Graphs

NLP techniques

Python

TensorFlow

PyTorch

Docker

Kubernetes

CI/CD for ML

LangChain

Weaviate

LlamaIndex

Tools

AutoGen

LangGraph

CrewAI

Agency Swarm

OpenAPI

LangChain

SageMaker

Bedrock

Job description

Senior Agentic AI Developer

Req number

R8521

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

We are looking for a motivated Senior Agentic AI Developer ready to take us to the next level! If you have experience in designing, developing, and deploying state-of-the- agentic systems, automation solutions, and generative AI applications to enable autonomous decision-making and optimize business processes and are looking for your next career move.

Job Description

We are looking for a Senior Agentic AI Developer to design cutting-edge AI solutions and autonomous systems focused on agentic workflows and generative AI technologies. This position will be full-time and Hybrid Bengaluru.

What You’ll Do

• 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

• Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the- 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

What You’ll Need

Required:

• 3-6 years of overall technical experience with 2 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 (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

• 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

• 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

• 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 [e-mail] or (888) 824 – 8111.