Artificial Intelligence Engineer

Senior Full-Stack AI Engineer

Remote Role

Open for only, who can work without sponsorship. No C2C/1099

-----------------------------------

Project Overview

We are integrating global technology, analytics, and AI development capabilities to transform how we innovate and deliver technology solutions. Our goal is to industrialize agentification to power smarter client decisions, improve operational efficiency, and accelerate growth.

You will lead the development of a high-visibility platform designed to automate and optimize the RFP (Request for Proposal) response workflow using advanced AI agents. This role sits at the intersection of Event-Driven Architecture, Generative AI, and Life Sciences data standards.

Key Responsibilities

• AI Orchestration: Synthesize complex product requirements using ChatGPT and guide AI coding assistants (Cursor, Claude) to build robust, scalable workflows.
• Platform Development: Architect and build a new platform for AI-based product workflows using LangGraph and Python.
• System Architecture: Design and implement Event-Driven Architecture and manage complex data integrations.
• Front-End Excellence: Develop high-performance web applications using the React framework.
• Data Standards: Work within FHIR (Fast Healthcare Interoperability Resources) and HL7 specifications for data interchange.
• Deployment & Scaling: Manage the full lifecycle of the application through CI/CD pipelines and AWS cloud infrastructure.
• Client Engagement: (Occasional) Visit sites to lead in-person builds and deployments for key customers.

Technical Requirements

• AI & LLM Frameworks: Expert-level knowledge of LangGraph, AI Agents, and AI Workflows.
• Coding Assistance Mastery: Extensive experience using Cursor and Claude modules to accelerate and govern complex codebases.
• Backend: Senior-level Python development and experience with Middleware.
• Frontend: Expert proficiency in React.
• AWS Infrastructure: Deep understanding of VPC, DynamoDB, EventBridge, and RabbitMQ.
• DevOps: Advanced knowledge of CI/CD best practices and Infrastructure as Code (IaC).
• Industry Standards: Experience with HL7/FHIR data specifications is highly preferred.
• Domain Expertise: Previous experience in the Life Sciences or Healthcare sector is a significant plus.

Regards

Ajay Sharma