AI Product Engineer: Build Production-Ready AI Agents

Samba; San Francisco (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Samba is seeking a skilled AI engineer to build production-ready agents using Claude, OpenAI, and internal toolkits. You will design tool harnesses, run agents in cloud environments, and optimize costs while ensuring robust observability and reliability.

You will collaborate with cross-functional teams, reason about model choices (Claude, GPT, Gemini, open-source), and ship practical solutions quickly with strong engineering discipline.

Qualifications

• Experience building AI agents deployed to production.
• Experience with cloud deployments and real-world challenges.
• Familiarity with MCP servers and tool libraries for agents.
• Open-source contributions to AI/ML projects.
• Observability and monitoring for LLM applications.

Responsibilities

• Build and deploy AI agents using modern SDKs with custom tools and function calling.
• Design and build tool harnesses and execution environments for agents in desktop and cloud.
• Collaborate with internal teams to understand workflows and automation opportunities.
• Critically evaluate LLM capabilities and model selection for tasks.
• Develop context engineering strategies for effective LLM prompts.
• Maintain custom tool libraries for internal APIs and data sources.
• Deploy and manage agents in cloud environments with monitoring and cost controls.
• Optimize LLM costs and performance via prompt engineering and caching.

Skills

AI agent development

Production deployment

Cloud environments

ToolHarness design

LLM debugging

Observability for LLM

Cross-functional collaboration

Multi-agent systems

MCP server experience

Open-source contributions

Tools

Claude

OpenAI API

Cursor

GCP

AWS

Azure

Containerization

Model Context Protocol

Job description

Samba is seeking a skilled AI engineer to build production-ready agents using Claude, OpenAI, and internal toolkits. You will design tool harnesses, run agents in cloud environments, and optimize costs while ensuring robust observability and reliability.

You will collaborate with cross-functional teams, reason about model choices (Claude, GPT, Gemini, open-source), and ship practical solutions quickly with strong engineering discipline.