GenAI Engineer

Lumiere Systems Inc

Charlotte, United States of America

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 130K

Job location

Charlotte, United States of America

Tech stack

Java

API

Artificial Intelligence

Amazon Web Services (AWS)

Automation of Tests

Cloud Engineering

Amazon DynamoDB

Python

PostgreSQL

Mule

Reverse Engineering

Data Streaming

Openapi

GitHub Copilot

Retrieval-Augmented Generation

Large Language Models

Grafana

Prompt Engineering

Generative AI

FastAPI

Build Management

Containerization

Angular

Solid Principles

DDD (Domain Driven Development)

Functional Programming

Domain Driven Design

Code Restructuring

Automation Anywhere

Docker

Microservices

Job description

Requirement gathering and analysis. Design creation (HLD/LLD). Reverse engineering of existing applications. Development for enterprise-scale projects. Lead and enable development teams to effectively use GenAI tools and frameworks. Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate: Architecture diagrams. Data flow and sequence diagrams. Accelerate design creation using GenAI: Propose API specifications. Apply Domain-Driven Design (DDD) patterns. Utilize Claude Code, GitHub Copilot, and similar tools for: Pull Request reviews. Automated test generation. Development, Code refactoring and optimization. Build and deploy AI agents using LangChain, LangGraph, integrated with enterprise APIs. Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-driven applications. Drive prompt engineering best practices and GenAI use case adoption across teams. Conduct workshops and training sessions for developers on GenAI tools and frameworks. Ensure security, compliance, and responsible AI usage in all GenAI implementations.

Requirements

Min 10+ years of experience in Python/Microservices development. Experienced professional with strong Python development and Generative AI expertise, especially in prompt engineering., Must-Have Skills: Strong proficiency in Python and microservice development. Hands-on experience with Claude Code, GitHub Copilot, and prompt engineering. Expertise in LangChain, LangGraph, LangFlow, and agent-based architectures. Solid understanding of software design principles, DDD, and cloud-native architectures. Experience building AI solutions integrated with enterprise APIs. Preferred Skills: Familiarity with AWS services (Bedrock, Lambda, S3, DynamoDB, Postgres/PGVector). Knowledge of containerization (Docker) and CI/CD pipelines. Experience with vector databases, embedding models, and LLM fine-tuning. Understanding of AI governance, bias mitigation, and responsible AI frameworks. Proficiency with FastAPI, LangChain, LangGraph, Bedrock, Anthropic APIs. Experience with observability tools for AI workflows. Soft Skills: Strong leadership and mentoring abilities. Excellent communication and collaboration skills. Ability to drive innovation and evangelize GenAI adoption across teams

Benefits & conditions

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About the company

Jones Lang LaSalle + Charlotte, NC JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology fo…, © 2026 Careerjet All rights reserved