Lead Engineer - AI

We are seeking a passionate and skilled AI Engineer to join our team, focusing on building intelligent, scalable, and secure AI-driven applications. The role involves integrating LLMs, orchestrating workflows using LangGraph, and deploying solutions on AWS with serverless and front-end technologies. Key responsibilities include designing agentic AI workflows, integrating LLMs with knowledge bases for RAG, building React.js front-ends, developing AWS Lambda functions, and collaborating with product and design teams.

Must Have

• 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
• Strong programming skills in Python and JavaScript/TypeScript
• 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

Good to Have

• Exposure to prompt engineering and LLM fine-tuning
• Solid understanding of RESTful API design and integration
• Familiarity with Git-based workflows and CI/CD pipelines
• Knowledge of security best practices in AI and cloud deployments
• Experience working in Agile/Scrum environments

Job Description:

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.