Job Decription and Summary

We are seeking a passionate and skilled AI Engineer with 2–5 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling. 

Responsibilities: 

• 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 (e.g., AutoGen, LangGraph, custom agents).  

• Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.). 

• 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. 

Required Qualifications:  

• 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 in working with LLMs such as GPT-4, Claude 2/Gemini, etc. 

• Strong hands-on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.. 

• Proficiency in Python and familiarity with cloud-native deployments (e.g., APIs, containers, microservices). 

• Solid understanding of software engineering best practices, including version control, testing, and CI/CD. 

• Experience in working with graph-based memory and LLM tool use patterns. 

Preferred Qualifications : 

• 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 in deploying AI systems in production environments and maintaining performance at scale 

Why Join Us?  

• Work with cutting-edge GenAI and agentic AI tools.  

• Contribute to real-world, scalable AI solutions.  

• Opportunity to innovate and build next-gen intelligent systems. 

• Collaborative, growth-oriented environment.