Lead Engineer - AI na Guardianlife

Role Summary: 

We are looking for a passionate and skilled AI Engineer to join our team in building intelligent, scalable, and secure AI-driven applications. You will work on integrating LLMs, orchestrating workflows using LangGraph, and deploying solutions on AWS using modern serverless and front-end technologies. 

Key Responsibilities: 

• Design and implement agentic AI workflows using LangGraph and MCP (Model Context Protocol). 

• Integrate LLMs via AWS Bedrock with internal and external Knowledge Bases for RAG-based solutions. 

• Build and maintain React.js front-end components that interact with AI services. 

• Develop and deploy AWS Lambda functions for scalable, event-driven back-end logic. 

• Integrate APIs with base systems and external services to enable intelligent agent actions. 

• Collaborate with product and design teams to deliver intuitive, AI-powered user experiences. 

• Contribute to the development of reusable components and best practices for AI integration. 

Required Skills & Qualifications: 

• Strong programming skills in Python and JavaScript/TypeScript. 

• Experience with React.js for building modern web applications. 

• Exposure prompt engineering and LLM fine-tuning.   

• Hands-on experience with AWS Lambda, API Gateway, S3, and IAM. 

• Familiarity with AWS Bedrock, LLMs and LangGraph. 

• Experience with RAG pipelines, vector databases, and embedding models. 

• Familiarity with Model Context Protocol (MCP) for managing agentic workflows. 

• Solid understanding of RESTful API design and integration. 

• Familiarity with Git-based workflows and CI/CD pipelines 

• Excellent communication skills and ability to translate business needs into technical solutions. 

• Knowledge of security best practices in AI and cloud deployments.  

• Experience working in Agile/Scrum environments.