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# AI Engineer / Generative AI Engineer

- **Company:** Technumen, Inc.
- **Location:** Alpharetta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Continuous Integration, Programming Tools, Python (Programming Language), Software Engineering, Systems Integration, TypeScript, Google Cloud, Enterprise Software Applications, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Git, Fastapi, Kubernetes, Restful APIs, Terraform, Docker, Microservices
- **Published:** July 29, 2026
- **Apply:** https://www.dice.com/job-detail/212672e9-c64c-49a4-95a7-cd632ef44833

## About the Role

* 7+ years of software engineering experience
 * Strong experience with Python and TypeScript
 * Experience integrating Claude, OpenAI, Gemini, or other LLM APIs
 * Hands-on experience building AI-powered applications
 * Experience with Prompt Engineering
 * Knowledge of AI agents and agent orchestration frameworks
 * REST API and microservices development
 * Git, Docker, CI/CD
 * Cloud experience (AWS, Azure, or Google Cloud Platform)

Preferred Skills:

 * LangChain
 * LangGraph
 * LlamaIndex
 * MCP (Model Context Protocol)
 * Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector)
 * RAG architecture
 * FastAPI
 * React
 * Kubernetes
 * Terraform
 * AI evaluation frameworks
 * Observability tools
 * Knowledge of secure AI development and AI guardrails

## Description

We are looking for a talented Senior AI Engineer to design, build, and deploy AI-powered applications and developer tooling. The ideal candidate has hands-on experience with Generative AI, LLMs, AI agents, and modern software engineering. This role involves building production-ready AI solutions, rapidly prototyping new ideas, and collaborating with engineering and product teams.
Responsibilities:

 * Design and develop AI-powered applications using Large Language Models (LLMs)
 * Build AI agents, copilots, and workflow automation solutions
 * Integrate Claude, OpenAI, or other foundation models into enterprise applications
 * Develop scalable backend services using Python and TypeScript
 * Build APIs and AI microservices
 * Implement Retrieval-Augmented Generation (RAG) solutions
 * Create prompt engineering strategies and evaluation pipelines
 * Build developer productivity tools using AI
 * Work with CI/CD pipelines and cloud deployment
 * Collaborate with product managers and engineering teams to deliver AI-enabled features
 * Optimize AI applications for performance, security, and scalability


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