Lead Engineer - AI

17 Minutes ago • All levels

Research Development

Job Description

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.

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

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

Add these skills to join the top 1% applicants for this job

communication

github

game-texts

agile-development

react

aws

ci-cd

front-end

restful-api

back-end

git

python

typescript

javascript

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.