Senior Agentic AI Developer

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-art 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, apply now.

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

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• Design, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar
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• Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
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• Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
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• Develop automation solutions using OpenAPI standards for integration with enterprise systems
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• Create self-healing, adaptive workflows that optimize business processes autonomously
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• Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions
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• 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
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• Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions
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• Work closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications
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• Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs
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• Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems
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• Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems
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• Stay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies

What You'll Need

Required

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• 3-6 years of overall technical experience with 2 years of hands-on experience in Generative AI and LLM technologies
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• 1+ years of experience building agentic systems, workflow automation, or autonomous AI applications
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• Deep hands-on experience with agentic frameworks (AutoGen, LangGraph, CrewAI, Agency Swarm, or similar)
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• Strong knowledge of workflow orchestration tools and patterns (Temporal, Airflow, Prefect, or similar)
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• Expertise in OpenAPI standards, Agent-to-Agent (A2A) protocols, and Model Context Protocol (MCP)
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• Experience designing multi-agent architectures with memory, planning, and tool-use capabilities
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• Knowledge of agent evaluation, testing frameworks, and observability patterns
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• Proven track record of deploying and optimizing LLM models for inference in production environments
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• Extensive experience with LLM orchestration frameworks (LangChain, LlamaIndex required)
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• Hands-on experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms
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• Expertise in RAG architectures, Fine-tuning techniques, and Prompt Engineering
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• Deep understanding of Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge Graphs
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• Expert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5)
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• Proficiency with ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn
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• Strong programming skills in Python (required), plus JavaScript/TypeScript or Node.js
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• Deep understanding of data structures, algorithms, and system design patterns
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• Hands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and serving
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• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systems
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• Knowledge of monitoring, logging, and observability tools for production AI systems

Preferred

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

Physical Demands

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Ability to safely and successfully perform the essential job functions

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Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc

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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 [email hidden] or (888) 824 – 8111.