About the Role

We are looking for a highly motivated Agentic AI Engineer to design, build, and deploy intelligent AI agents and multi-agent systems that can autonomously reason, plan, execute tasks, and interact with enterprise applications. The ideal candidate will have hands-on experience in Generative AI, LLMs, Agent Frameworks, RAG architectures, and cloud-based AI services.

This role involves developing next-generation AI solutions that leverage autonomous agents, orchestration frameworks, tool calling, memory systems, and enterprise integrations to automate complex business workflows.

Key Responsibilities

- Design and develop Agentic AI solutions using Large Language Models (LLMs) and autonomous agent frameworks.
- Build intelligent AI agents capable of reasoning, planning, reflection, memory management, and task execution.
- Develop and deploy multi-agent systems for complex business processes and decision-making workflows.
- Implement Retrieval Augmented Generation (RAG) architectures with enterprise knowledge repositories.
- Integrate AI agents with APIs, databases, SaaS platforms, and enterprise applications.
- Develop agent orchestration workflows using modern AI frameworks and tools.
- Create scalable and production-ready AI applications on cloud platforms.
- Optimize prompts, workflows, and agent performance to improve reliability and accuracy.
- Implement guardrails, security controls, and Responsible AI practices.
- Monitor, evaluate, and improve agent performance using observability and evaluation frameworks.
- Work closely with Product, Data Science, Engineering, and Business stakeholders to deliver AI-powered solutions.




- Stay current with advancements in Agentic AI, LLMs, multimodal AI, and emerging AI technologies.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
- 3-8 years of experience in Software Development, AI/ML, Data Science, or related domains.
- Strong programming expertise in Python.
- Experience building AI/ML applications and deploying solutions in production environments.
- Solid understanding of Generative AI concepts, LLMs, and AI agent architectures.

Technical Skills

Generative AI & LLMs

- OpenAI GPT
- Azure OpenAI
- Claude
- Gemini
- Llama Models
- Mistral Models

Agentic AI Frameworks

- LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- LlamaIndex
- OpenAI Agents SDK

AI Engineering

- Prompt Engineering
- Function Calling
- Tool Calling
- Agent Memory Management
- Planning & Reasoning Systems
- Reflection & Self-Correction Patterns
- Multi-Agent Collaboration Frameworks

RAG & Search

- RAG Implementation
- GraphRAG
- Hybrid Search
- Semantic Search
- Knowledge Graphs
- Enterprise Search Solutions

Vector Databases

- Azure AI Search
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Milvus

Cloud Platforms

- Microsoft Azure (Preferred)
- AWS




- Google Cloud Platform

MLOps & Engineering

- Docker
- Kubernetes
- GitHub Actions
- CI/CD Pipelines
- Model Monitoring
- AI Observability

Preferred Experience

- Experience developing AI Assistants, Copilots, or Enterprise Chatbots.
- Hands-on experience with Microsoft AI ecosystem:
- Azure AI Foundry
- Azure OpenAI
- Azure AI Search
- Azure Functions
- Microsoft Copilot Studio

- Experience working with MCP (Model Context Protocol).
- Experience implementing AI Security and Governance frameworks.
- Exposure to fine-tuning and deploying open-source LLMs.
- Knowledge of multimodal AI applications involving text, image, audio, and video.

Soft Skills

- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to translate business requirements into AI-driven solutions.
- Strong collaboration and teamwork mindset.
- Ability to work in fast-paced and cutting-edge environments.

Nice-to-Have Certifications

- Microsoft Certified: Azure AI Engineer Associate
- Azure OpenAI Certifications
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- Databricks Generative AI Certifications

What Success Looks Like

- Successfully deploy scalable Agentic AI solutions into production.
- Automate complex business processes using intelligent agents.
- Improve operational efficiency through AI-powered decision support.
- Build secure, reliable, and enterprise-ready AI platforms.
- Drive innovation through adoption of modern Agentic AI technologies.

📌 Agentic AI Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru