Lead Developer (Generative AI)

Charlotte, NC, US • Posted 1 day ago • Updated 1 day ago

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Contract W2

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Depends on Experience

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Job Details

Skills

ATLAS
Amazon S3
Amazon SQS
Amazon Web Services
AngularJS
Application Development

Summary

We are looking for Lead Developer (Generative AI ) for our client in Charlotte, NC

Job Title: Lead Developer (Generative AI )

Job Location: Charlotte, NC

Job Type: Contract

Job Overview:

The Lead Developer (Generative AI) is responsible for designing and developing scalable AI-driven solutions using large language models and enterprise integrations.
This role focuses on building advanced GenAI systems, including orchestration, retrieval-augmented generation, and backend cloud services.
The candidate will lead development efforts, ensure system reliability and security, and collaborate with cross-functional teams to deliver innovative AI solutions.

Experience:

Minimum 6 years of experience in cloud-native application development.
At least 2 years of experience building production-grade Generative AI applications.

Responsibilities:

Design and develop MCP architecture connecting LLMs with enterprise systems and APIs.
Define schemas, permissions, and lifecycle management for AI-driven services.
Develop multi-turn chatbot orchestration with memory, tool usage, and function calling.
Implement retrieval-augmented generation (RAG) pipelines and knowledge integration systems.
Build scalable backend services using Python, FastAPI, and microservices architecture.
Develop and deploy applications using AWS services including Lambda, S3, ECS, and SQS.
Implement security best practices including IAM policies and least-privilege access.
Build observability frameworks including logging, tracing, and performance monitoring.
Implement safety mechanisms such as content filtering, prompt injection prevention, and data protection.
Collaborate with AI/ML, product, security, and DevOps teams to deliver end-to-end solutions.
Lead code reviews, mentor engineers, and drive engineering best practices.

Skills:

Generative AI, LLM orchestration, and RAG architectures.
Python, FastAPI, and microservices development.
LangChain and exposure to LangGraph.
Vector databases such as pgvector, FAISS, Pinecone, and MongoDB Atlas Vector Search.
AWS services including Lambda, S3, ECS, SQS, and IAM.
Backend development and event-driven architecture.
Observability tools, logging, and performance monitoring.
Strong communication and documentation skills.

Qualification And Education:

Bachelor s degree in Computer Science, Engineering, or related field.
Equivalent work experience may be considered.

Should Have:

Experience with agentic workflows and advanced orchestration frameworks.
Frontend development experience using React or Angular.
DevOps experience with CI/CD, Docker, Terraform, or Kubernetes.
Knowledge of data privacy, compliance, and security frameworks.
Familiarity with observability tools and evaluation methodologies for AI systems.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: NC_LDGA_0330
Posted 1 day ago

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