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Ai Applications Engineer Jobs Near Me

Hiring Alert | AI Engineer Location: Columbus, OH / Phoenix, AZ Employment Type: Full-Time ... Experience developing Generative AI applications using Azure services. * Strong understanding of ...

AI Engineer is also responsible for designing and delivering data access through APIs, and ensuring that these solutions are securely deployed. The goal is to create AI and M365 applications that are ...

ML Engineering role focused on building AI solutions and integrating them into the existing ... Deploy and maintain AI applications across cloud environments.

Design, develop, deploy, and maintain scalable AI/ML applications. * Build production-ready machine ... Mentor junior engineers and provide technical leadership through architecture guidance and code ...

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

... Ai applications, as per the design. • Design or customize the deliverables for client use to ... Engineering (EE), Computer Engineering (CE), Informatics, or Software Engineering (SE) • ...

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How much do ai applications engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai applications engineer in the United States is $110,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $135,000.00 per year, depending on experience, location, and employer.
What job categories do people searching Ai Applications Engineer jobs look for? The top searched job categories for Ai Applications Engineer jobs are:
What cities are hiring for Ai Applications Engineer jobs? Cities with the most Ai Applications Engineer job openings:
What states have the most Ai Applications Engineer jobs? States with the most job openings for Ai Applications Engineer jobs include:
A map of the United States highlighting the number of Ai Applications Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Ai Applications Engineer job openings in each state, with California having the most at 2 and Alaska the least at 0.

Senior AI Engineer / Generative AI Engineer

Technumen

Columbus, OH • On-site

$100K - $138K/yr

Contractor

Posted 13 days ago


Job description

Senior AI Engineer / Generative AI Engineer
Alpharetta, GA & Columbus, OH (w2/1099 only)
 
Job 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
Required Skills:
  • 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 GCP)
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