Agentic / LLM-Focused AI Engineers at Infobeans

Infobeans is seeking talented Agentic / LLM-Focused AI Engineers to join our innovative team. This role offers a unique opportunity to work on the forefront of artificial intelligence, shaping the future of intelligent systems.

About the Role

In this position, you will be instrumental in designing, developing, and implementing cutting-edge agentic AI solutions. You will leverage frameworks such as LangGraph and CrewAI to build robust Retrieval-Augmented Generation (RAG) pipelines, integrating Knowledge Graphs and Vector Databases. Your work will involve connecting LLM-powered applications with frontend systems, APIs, and enterprise platforms, transforming complex business use cases into context-aware AI applications. We encourage iterating on AI agent workflows to ensure scalability, reliability, and measurable outcomes in production environments.

Why You Will Love This Role

This role provides an exciting opportunity to work with state-of-the-art agentic AI, Large Language Models (LLMs), and next-generation intelligent systems. You will have the chance to influence architectural decisions and shape the direction of AI-driven solutions. Gain exposure to modern AI frameworks and RAG technologies used by leading AI engineering teams in a collaborative culture that champions innovation, experimentation, and continuous learning. You will contribute to high-impact, real-world projects that push the boundaries of applied AI.

What We Are Looking For

• Strong proficiency in Python for AI/ML application development.
• Solid understanding of Large Language Models, prompt engineering, and LLM integration patterns.
• Hands-on experience with frameworks like LangGraph, CrewAI, LlamaIndex, LangChain, or similar.
• Experience with Vector Databases (e.g., Pinecone, FAISS, Weaviate) and working knowledge of Knowledge Graphs.
• Ability to design, build, iterate, and productionize AI agents with a strong engineering mindset.
• Working knowledge of React or Angular for integrating AI features into front-end interfaces (a plus).

Good-to-Have Skills

• Experience with public cloud platforms such as AWS, Azure, or GCP.
• Understanding of MLOps practices for deploying and monitoring LLM/AI applications.
• Familiarity with API development or backend services that support AI workflows.

Locations

This role is based in Pune, Indore, and Baner, Pune, including Viman Nagar.