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# AI Engineer

- **Company:** Everforth Apex
- **Location:** San Ramon, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Continuous Integration, Hypertext Transfer Protocols (HTTP), JSON, Python (Programming Language), Data Logging, Google Cloud, Large Language Models, Prompt Engineering, Git, Build Management, Kubernetes, Api Design, Restful APIs
- **Published:** May 27, 2026
- **Apply:** https://www.dice.com/job-detail/c714cb9c-8c7c-4feb-a5fe-a08dcacf67ff

## About the Role

* ~10 years of overall engineering experience with strong software fundamentals.
 * Hands-on experience building AI-powered applications or agents in real environments.
 * Experience deploying and supporting AI solutions in production.
 * Comfortable working as a hands-on IC in a fast-moving, product-driven environment.

Nice to Have

 * Experience with multi-step AI agents, orchestration frameworks, or evaluation tooling
 * Exposure to e-commerce or consumer-facing platforms
 * Familiarity with responsible AI, guardrails, and data privacy considerations

## Description

* Build and deploy AI agents using Claude to support internal and customer-facing use cases.
 * Implement prompt engineering, agent logic, and tool/function calling for reliable AI behavior.
 * Integrate AI agents into applications using REST APIs and backend services.
 * Partner with product and engineering teams to translate AI use cases into working solutions.
 * Support production readiness through testing, monitoring, and iteration.

Required Tools & Technologies

 * LLMs: Claude (required), experience with other LLMs (e.g., OpenAI) a plus
 * Languages: Python (required)
 * APIs & Services: REST APIs, JSON, HTTP services
 * AI Patterns: Prompt engineering, agent workflows, tool/function calling
 * Data & Retrieval: Vector databases (e.g., Pinecone, Weaviate, FAISS), embeddings, RAG (preferred)
 * Cloud & Dev: AWS, Google Cloud Platform, or Azure; Git; CI/CD basics
 * Observability: Logging, monitoring, and basic evaluation of AI outputs


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