Field Ai6d ago

AI Engineer, Executive Communication Agents

United States·IrvineFixed-Termmid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

orchestration, memory, tool use, evals, guardrails, and the integrations that connect agents to Google Workspace, Slack, calendar, and travel systems, and internal knowledge source

Technical Tools

Machine Learning EngineerData

Location: Irvine, CA (5 days onsite)
Type: Fixed Term

FieldAI is building advanced AI systems to power real-world autonomy. As a fast-growing company at the forefront of innovation, we move quickly and operate with high standards, supporting leaders who are shaping the future of AI.

We're hiring an experienced AI engineer to design, build, and own the Executive Communication Agents that power our leadership and communications operations. You'll work directly with our C-level leadership and their EAs to automate and augment high-stakes workflows, including scheduling, inbox management, meeting prep and follow-ups, task prioritization, travel, project coordination, internal comms, and executive research, and to set the technical direction for how FieldAI uses its own technology internally.

This role combines deep AI engineering with strong product and communications sensibilities. The agents you build will collaborate closely with executives, suggest scheduling decisions, and support leadership in day-to-day operations. You'll prototype on Monday, ship to real users by Friday, and iterate based on what you see them actually doing with it.

Architect and build production-grade Executive Communication Agents for workflows including scheduling, email triage and drafting, meeting prep and follow-ups, travel coordination, project coordination and action item tracking, and briefing generation

Own the full agent stack: orchestration, memory, tool use, evals, guardrails, and the integrations that connect agents to Google Workspace, Slack, calendar, and travel systems, and internal knowledge sources

Partner directly with C-level leadership and EAs as your first users to observe their workflows, identify the highest-leverage automation opportunities, and translate messy real-world processes into shipped systems

Set the bar for agent quality by building evaluation frameworks, defining reliability and safety standards, and ensuring agents are trustworthy

Move fast across the full stack when needed: backend services, agent orchestration, Chrome extensions, and Slack bots, whatever gets the workflow unblocked

Influence product direction for internal AI tooling and help translate learnings into patterns the broader company can build on

3+ years of software engineering experience, with 2+ years building LLM-powered products or agents in production

Strong proficiency in Python and/or TypeScript and experience with modern agent frameworks (LangGraph, CrewAI, custom orchestration, etc.)

Deep hands-on work with LLM APIs, RAG, tool use, function calling, prompt engineering, and eval design

Experience shipping products that integrate with Google Workspace, Slack, or similar enterprise APIs

A track record of shipping end-to-end, including side projects, internal tools, or production features you took from idea to live users quickly

Excellent written and verbal communication, with the ability to work directly with executives, write clearly, and care about the quality of the text your agents produce

Strong product instincts and comfort operating in ambiguous, fast-moving environments

High judgment and discretion when working with confidential executive information

Ability to work onsite in Irvine, CA, five days per week

Prior experience building AI assistants, copilots, or agentic products used by non-technical end users

Background in a high-growth startup or early-stage AI company

Experience working directly with executives and EA teams

Contributions to open-source agent frameworks or applied AI tooling

Experience with multi-agent systems, long-horizon planning, or human-in-the-loop workflows

Location & Eligibility

Where is the job

Irvine, United States

On-site at the office

Who can apply

Listing Details

Posted: April 28, 2026
First seen: April 28, 2026
Last seen: May 4, 2026

Posting Health

Days active: 6
Repost count: 0
Trust Level: 45%
Scored at: May 5, 2026

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Field Ai

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Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.

Employees

Founded

2023

Domain

Jobs

External application · ~5 min on Field Ai's site

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