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Lead Engineer - Full Stack Development - AI/GenAI

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Summary

Lead full-stack engineer on an AI/GenAI team building enterprise applications in a regulated medical-device environment. Day to day spans Angular/TypeScript front ends, Python FastAPI back ends, PostgreSQL/Cosmos DB/MongoDB data, LLM workflows with LangChain/CrewAI, and Azure cloud/CI-CD work.

Role Overview:

Looking for an experienced Lead Engineer Full Stack Development to join its AI/GenAI team and contribute to building enterprise-grade software applications. The role involves designing, developing, implementing, maintaining, and extending software applications and services within a regulated medical-device development environment.

Key Responsibilities:

- Front-End Development: Build user-facing features using Angular, TypeScript, HTML5, CSS/SCSS, and enterprise UI component libraries.

- Back-End Development: Design and maintain asynchronous server-side services using Python, FastAPI, and Uvicorn.

- API Development: Design and implement RESTful and streaming APIs.

- Database Management: Maintain application databases using PostgreSQL, Azure Cosmos DB, or MongoDB; work with RDF-based knowledge graphs and SPARQL.

- AI / GenAI Integration: Build LLM-powered workflows using LangChain or CrewAI; integrate Azure AI Search and Databricks.

- Cloud & DevOps: Manage Azure IaaS/PaaS services; support CI/CD pipelines and application monitoring.

- Quality & Compliance: Ensure compliance with security and data privacy regulations in a regulated medical-device environment.

Tech Stack:

- Programming: Python, TypeScript.

- Frontend: Angular, HTML5, SCSS/CSS, JavaScript.

- Backend: FastAPI, Uvicorn, Asynchronous services.

- AI/GenAI: LangChain, CrewAI, LLM workflows.

- Databases: PostgreSQL, Azure Cosmos DB, MongoDB.

- Cloud: Microsoft Azure IaaS/PaaS.

Qualifications:

- BE/MS in Computer Science, Information Technology, or a related field.

- 8 - 12 years of relevant professional experience.

- Proven experience in software solution design and Scaled Agile Framework (SAFe).

- Excellent communication and analytical skills.

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