Senior Associate – AI Engineer, Advisory

Overview

We are seeking a passionate and skilled AI Engineer to join the AI/ML team and build and deploy advanced AI solutions using Retrieval-Augmented Generation, Large Language Models, multi-agent frameworks, and state-of-the-art tooling.

What you'll do

• Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
• Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
• Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
• Implement multi-agent orchestration and reasoning systems, including AutoGen, LangGraph, and custom agents.
• Use LLM frameworks and libraries, including LangChain, AutoGen, and LangGraph.
• Write clean, efficient, and scalable code in Python or other languages as needed.
• Collaborate across cross-functional teams to translate business needs into scalable GenAI-powered systems.
• Ensure system scalability, reliability, and maintainability through strong software engineering practices.

What you'll need

• 2–5 years of total experience in AI/ML or software engineering.
• Minimum 2 years of hands-on experience in building and deploying GenAI systems.
• Experience working with LLMs such as GPT-4, Claude 2/Gemini, and similar models.
• Strong hands-on knowledge of RAG systems and multi-agent frameworks such as LangGraph, LangChain, or AutoGen.
• Proficiency in Python and familiarity with cloud-native deployments, including APIs, containers, and microservices.
• Solid understanding of software engineering best practices, including version control, testing, and CI/CD.
• Experience working with graph-based memory and LLM tool use patterns.
• Bachelor of Engineering, Master of Engineering, MBA, BE/BTech, MCA, MTech, or equivalent qualification as stated in the posting.
• Mandatory skill set: GenAI and Agentic AI.
• Required skill: Agentic AI.

Nice to have

• Experience with tool-using agents, memory-augmented architectures, or cognitive architectures.
• Prior contributions to open-source GenAI or agent frameworks.
• Familiarity with Azure OpenAI, AWS Bedrock, or other cloud-based LLM services.
• Background in optimization, evaluation, and prompt engineering for LLM systems.
• Experience deploying AI systems in production environments and maintaining performance at scale.
• Preferred skill set: GenAI and Agentic AI.

Details

• Location: Bengaluru Millenia.