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-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** + 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-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 **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 + Solid 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 [email protected] or (888) 824 - 8111.

📌 Senior Agentic AI Developer (India)
🏢 CAI
📍 India