---
title: 'AI Engineer at Fluency'
canonical: 'https://feeny.ai/job/ai-engineer-fluency-san-francisco-ms31m8mmwth6'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineer at Fluency

- **Company:** Fluency
- **Location:** San Francisco, CA
- **Compensation:** $150k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-16
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/fluency/9a83146e-e32d-4e0c-84b5-59996a58a821

## Job description

We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user-facing features that ship to users.

You'll take product requirements and turn them into working prompts, agents, and pipelines. You'll evaluate them rigorously, iterate until they're production-ready, and keep improving them once they ship. This role sits at the intersection of product and platform: you decide what the AI should do, prove it works, and get it in front of users.

Because we're an early-stage company moving fast, we're looking for someone who can work quickly through ambiguous AI problems, measure output quality, and ship only when the system is reliable enough for production. This is an in-person role, 5 days a week in our office. The ability to tell the difference between "looks good in the demo" and "works in production" is essential.

## Key Responsibilities

- Build new AI features end to end, from prototype to production.
- Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
- Design and run evals that measure real output quality, not just first impressions.
- Iterate fast on prompts, agent designs, and orchestration patterns.
- Partner with the Product Engineer to translate requirements into AI features that actually work.
- Partner with the AI Platform team to land features on solid infrastructure.
- Evaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.

## What We Are Looking For

- Hands-on experience building LLM-powered features that shipped to real users
- Production engineering chops in TypeScript/Node (primary, especially in AWS Lambda) and/or Python
- Experience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar
- Practical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results
- Track record of building evaluation systems that actually catch regressions
- Solid software engineering fundamentals: you can write production code, not just notebooks

## Nice to Have

- Experience with provider-abstraction libraries for multi-LLM workflows
- Familiarity with pgvector or other vector retrieval systems
- Experience with post-training or fine-tuning
- Experience deploying AI features on AWS Lambda, ECS Fargate, or similar
- Background in ML, NLP, or applied research
- Experience with structured output, function calling, and tool use at scale
- Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
- Open source contributions in the LLM or agent tooling space

## About Fluency

Fluency builds a platform that captures how work actually happens inside large organizations, measures productivity and process conformance, and analyzes where AI can do the work.

We capture observable work data across tools and systems, structure it into a model of how work runs, and use it to measure productivity, check process conformance, and analyze where AI changes the work.

Fluency is looking for an AI Engineer to own the AI quality and the prompts, agents, evals, and pipelines behind user-facing features that ship to Fortune 500 users.

Our Customers Customers include CVS Health, Aon, and PVH.

Location

- Full-time, in-person role based in San Francisco, CA.
- We offer E-3 sponsorship for Australians to relocate with stipend.

This role is not a fit if

- You want hybrid or remote
- You're not comfortable with rapid iteration
- You've never operated production pipelines
- You dislike constraints (we have them: cost, latency, reliability tradeoffs are real)
- You don't have a good reason for wanting to work at an early-stage company

Hiring Process

- Resume screen
- 1:1 with founder
- Technical deep-dive on past AI engineering work
- Work through a real problem with the team
- Offer

We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products.

## Compensation & Benefits

- Base salary: US$180,000 to US$250,000
- ESOP: Available
- US$1,000 per month food and commuting allowance
- Laptop of choice

## About Fluency

## Company Overview
- **One-liner**: Fluency provides an enterprise work intelligence platform that gives leaders real-time visibility into how work gets done, identifies the highest-impact automation opportunities, and tracks ROI on AI deployments.
- **Entity Type**: Private (Seed stage; total funding ~$11.7M)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Finnlay Morcombe (CEO & Co-Founder), Oliver Farnill (COO & Co-Founder)

## Core Business
- **Primary industries**: Enterprise Work Intelligence, AI/automation, Process Optimization
- **Target customers**: B2B, primarily Fortune 500 enterprises (e.g., CVS Health, Aon)
- **Mission/Purpose**: “Build the foundation for how AI enterprises work” – capture how work actually gets done, model it, simulate changes, and eventually enable the enterprise to run itself.

## Products & Services
- **Fluency Platform (Work Intelligence)**: A SaaS platform that maps work flows across systems and teams, highlights repeated manual work, recommends exactly what to automate, deploys AI agents and workflows, and tracks the resulting ROI. No integrations or engineering projects required to start.
- **Work Explorer**: A component that uncovers repeated work patterns across systems, teams, and departments.
- **Opportunity Engine**: Shows leaders where and why to automate specific work, including projected hours and money saved.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding – $11,659,600 (includes a $9M Seed round led by Accel in February 2026, a $1.5M Seed round in April 2025, a corporate round in 2023, and a pre-seed round).
- **Notable Investors/Partners**: Lead investor Accel; also Swinburne University of Technology (pre-seed). Clients include CVS Health and Aon.
- **Growth Signals**: Headcount grew +58.3% YoY (LinkedIn data); 13 total employees (Built In); expanding from San Francisco to Melbourne, Australia; claims “0%” integration/engineering time required for onboarding Fortune 500 companies.

## Competitive Advantages
- **Deep work visibility**: Fluency captures actual work across all systems and teams, not just system logs or survey snapshots.
- **Zero-integration setup**: Can be deployed without any engineering projects or heavy IT lift.
- **ROI measurement**: Provides precise, auditable proof of AI/automation ROI, which most enterprises struggle to demonstrate.
- **Agentic enterprise infrastructure**: Positions itself as the foundational control layer for future AI-driven operations.

## Strategic Focus
- Scale from “map” to “self-running” enterprise – eventually enabling the organization to simulate changes, anticipate failures, and access any past work instantly.
- Continue landing Fortune 500 clients across healthcare, manufacturing, retail, and financial services verticals.
- Grow engineering and AI teams (current open roles: Software Engineer (Product), AI Engineer, Software Engineer (AI Platform), Full Stack Engineer).

## Why Work Here
- **Early-stage impact**: Join a well-funded seed-stage company (led by Accel) that is building the core infrastructure for how enterprises will operate with AI.
- **Mission-driven**: Work on hard problems (climate, healthcare, infrastructure) by making enterprise coordination more efficient.
- **Office culture**: In‑office (on‑site) environment at San Francisco HQ with a second office in Melbourne, Australia. The career page lists all current roles as in‑office.
- **Team**: Small, high-growth team (13 employees) with a strong technical focus (26% in technical roles per LinkedIn).
- **Leadership**: Founders with backgrounds in building AI/automation products; CTO also on the leadership team.

## Sources
1. [usefluency.com](https://usefluency.com)
2. [usefluency.com/about](https://usefluency.com/about)
3. [builtin.com](https://builtin.com/company/fluency-usefluencycom)
4. [linkedin.com](https://www.linkedin.com/company/usefluency)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/fluency)

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