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# AI Software Engineer

- **Company:** Capital Center, L.L.C.
- **Location:** Richmond, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Software Debugging, Python (Programming Language), Machine Learning, OpenAI, Software Engineering, TypeScript, Autoscaling, LangChain, Delivery Pipeline, Large Language Models, Generative AI, Backend, Kubernetes, Information Technology, HuggingFace, Bicep, Terraform, Key Vault
- **Published:** October 19, 2026
- **Apply:** https://www.thejobnetwork.com/job/8e5dd5b0-bd42-485a-a593-90ead79ffe31/ai-software-engineer

## About the Role

* Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
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 * 3-5+ years of software engineering experience building web or backend applications.
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 * Hands-on experience with machine learning or generative AI tools (OpenAI, Anthropic, HuggingFace, LangChain, vector databases, etc.).
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 * Proficiency in languages such as Python, TypeScript/JavaScript, or C#.
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 * Strong working knowledge of Microsoft Azure, including hands-on experience deploying, securing, and operating production workloads (compute, networking, identity, storage, and Key Vault)., * Solid experience with containers and Kubernetes (preferably AKS), including deployments, services, ingress, config/secrets, autoscaling, and debugging workloads with kubectl., * Familiarity with mortgage workflows: LOS, POS, underwriting, rate/pricing engines, and compliance considerations.
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 * Microsoft Azure certifications (e.g., AZ-204 Developer, AZ-104 Administrator, AZ-305 Solutions Architect, or AI-102 AI Engineer) and/or Kubernetes certifications (CKA or CKAD).
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 * Experience with infrastructure-as-code (Terraform or Bicep) and GitOps or Helm-based deployment workflows., * Experience deploying and scaling AI/LLM workloads on Azure (Azure OpenAI, AI Foundry, or self-hosted models on AKS)., * Strong problem-solving skills with the ability to map operational processes to technical solutions.
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 * Ability to work cross-functionally and communicate complex concepts to non-technical teams.