Senior Agentic AI Developer
- Compensation
- Not disclosed
- Location
- India - Bengaluru
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- 1+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full 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-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