Agentic AI Engineer

BayOne Solutions; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

BayOne Solutions seeks a hands-on AI Engineer in San Francisco, CA, who is deeply familiar with today's frontier AI models and tools like Claude Code and Codex. In this role, you will build and maintain workflows, develop MCP servers, and integrate models into applications.

The ideal candidate has strong backend development experience with Python and FastAPI, along with hands-on knowledge of prompt engineering and agentic tooling. If you are excited to stay at the forefront of AI technology, we want to hear from you!

Qualifications

• Strong working knowledge of leading models from Anthropic and OpenAI.
• Demonstrated experience creating skills, agents, and hooks.
• Understanding of MCPs and backend development proficiency.

Responsibilities

• Build and maintain agentic workflows using Claude Code and Codex.
• Design and develop new MCP servers.
• Integrate frontier models into applications via API calls.
• Develop backend services using FastAPI for AI applications.
• Apply prompt engineering best practices.

Skills

Fluency in Anthropic Claude and OpenAI models

Experience with Claude Code and Codex

Backend development with Python and FastAPI

API integration with frontier models

Agentic tooling expertise in creating skills and agents

Job description

About the Role:

• We are looking for a hands-on AI Engineer who is deeply familiar with today's frontier AI models and the agentic tooling ecosystem built around them.
• The ideal candidate works fluently with Claude Code and Codex on a daily basis and understands how to extend these tools through skills, agents, hooks, and MCP (Model Context Protocol) servers.
• This role combines practical agentic AI development with solid backend engineering fundamentals.

Key Responsibilities:

• Build, configure, and maintain agentic workflows using Claude Code and Codex, including creating skills, agents, and hooks
• Design and develop new MCP (Model Context Protocol) servers, and modify or extend existing MCPs to integrate tools and data sources into agentic environments
• Integrate frontier models (Anthropic Claude, OpenAI models) into applications via API calls, with well-structured prompting strategies
• Develop and maintain backend services, primarily using FastAPI, to support AI-powered applications
• Apply prompt engineering best practices to optimize model outputs for production use cases
• Stay current with the rapidly evolving frontier model and agentic tooling landscape

Required Skills & Experience:

• Frontier model fluency: Strong working knowledge of leading models from Anthropic (Claude) and OpenAI, and hands-on experience using them through tools like Claude Code and Codex
• Agentic tooling expertise: Demonstrated experience creating skills, agents, and hooks within Claude Code / Codex environments
• MCP development: Understanding of how MCPs work inside agentic tools, with the ability to create new MCP servers and modify existing ones
• Backend development: Experience building backend services with Python and FastAPI
• LLM integration: Experience making API calls to frontier models and implementing effective prompting techniques

Nice to Have:

• High-level conceptual understanding of model fine-tuning approaches (deep fine-tuning expertise is not required)
• Experience integrating multiple tools and data sources into agentic loops and automated workflows

What Makes You a Great Fit:

• You are comfortable living inside modern AI developer tooling — not just using Claude or Codex as a chat assistant, but extending and customizing them. You understand the full agentic stack: how skills are authored, how hooks trigger automation, how MCPs expose tools to models, and how to wire it all together with clean backend code.