Senior Agentic AI Developer (Bengaluru)

Senior Agentic AI Developer (Bengaluru)

15 Sep
|
Cai Info India
|
Bengaluru

15 Sep

Cai Info India

Bengaluru

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 Youll 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

- 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

📌 Senior Agentic AI Developer (Bengaluru)
🏢 Cai Info India
📍 Bengaluru

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