Manager AI Engineer

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 solutionsleveraging 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.