Agentic AI Engineer

BayOne Solutions

  • San Francisco, CA
  • 1 day ago

    Highlights

    Key Responsibilities: Build, configure, and maintain agentic workflows using Claude Code and Codex, including creating skills, agents, and hooksDesign and develop new MCP (Model Context Protocol) servers, and modify or extend existing MCPs to integrate tools and data sources into agentic environmentsIntegrate frontier models (Anthropic Claude, OpenAI models) into applications via API calls, with well-structured prompting strategiesDevelop and maintain backend services, primarily using FastAPI, to support AI-powered applicationsApply prompt engineering best practices to optimize model outputs for production use casesStay current with the rapidly evolving frontier model and agentic tooling landscapeRequired 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 CodexAgentic tooling expertise: Demonstrated experience creating skills, agents, and hooks within Claude Code / Codex environmentsMCP development: Understanding of how MCPs work inside agentic tools, with the ability to create new MCP servers and modify existing onesBackend development: Experience building backend services with Python and FastAPILLM integration: Experience making API calls to frontier models and implementing effective prompting techniquesNice 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 workflowsWhat 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.#J-18808-Ljbffr.

    Numbers & Facts

    LocationSan Francisco, CA

    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 hooksDesign and develop new MCP (Model Context Protocol) servers, and modify or extend existing MCPs to integrate tools and data sources into agentic environmentsIntegrate frontier models (Anthropic Claude, OpenAI models) into applications via API calls, with well-structured prompting strategiesDevelop and maintain backend services, primarily using FastAPI, to support AI-powered applicationsApply prompt engineering best practices to optimize model outputs for production use casesStay current with the rapidly evolving frontier model and agentic tooling landscapeRequired 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 CodexAgentic tooling expertise: Demonstrated experience creating skills, agents, and hooks within Claude Code / Codex environmentsMCP development: Understanding of how MCPs work inside agentic tools, with the ability to create new MCP servers and modify existing onesBackend development: Experience building backend services with Python and FastAPILLM integration: Experience making API calls to frontier models and implementing effective prompting techniquesNice 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 workflowsWhat 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.#J-18808-Ljbffr

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