---
title: 'Software Engineer, AI Platform at Fluency'
canonical: 'https://feeny.ai/job/software-engineer-ai-platform-fluency-san-francisco-hz5vhn3en4v0'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer, AI Platform 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/c6aceb26-9658-48c2-ac07-6cdf8bbb38df

## Job description

We're hiring a full-time Software Engineer, AI Platform to own the data platform, ETL pipelines, and agent infrastructure that everything else at the company runs on.

This is the platform layer that makes Fluency's AI work reliable, observable, and usable in production. It moves data through LLMs, transforms agent outputs into structured downstream data, runs jobs reliably, and keeps the system fast, cheap, and observable as we scale.

Because we're an early-stage company moving fast, we're looking for an engineer who can build the platform, keep it running, and make tradeoffs while priorities shift. This is an in-person role, 5 days a week in our office. The ability to balance reliability with iteration speed is essential.

## Key Responsibilities

- Own the data platform: Maintain and evolve the platform that powers every job across the company.
- Run the LLM ETL pipeline: Ingestion, transformation, enrichment, and storage of LLM-driven data.
- Build agent transformation infrastructure: The systems that take agent outputs and turn them into structured, queryable data downstream.
- Improve reliability, throughput, and cost of LLM-driven jobs in production.
- Build observability and tooling so the team can debug and iterate quickly.
- Partner with AI Engineers: Expose new capabilities through the platform and shape the interfaces they build on.
- Operate the system: Participate in on-call rotation and incident response.

## What We Are Looking For

- Strong Python engineering experience supporting production systems (FastAPI or similar)
- Experience building or maintaining production pipelines that handle non-trivial volume, retries, backfills, and failure recovery
- Hands-on experience with a data orchestrator (Dagster, Airflow, Prefect, or Temporal) and dbt or similar transformation tooling
- Comfort with PostgreSQL at scale: schema design, multi-schema setups, and migrations
- Comfort with AWS infrastructure (ECS, Lambda, SQS, Step Functions, RDS, S3) and IaC (Terraform / Terragrunt)
- Familiarity with LLM APIs and the operational realities of LLM-based systems (latency, cost, retries, structured output, failure modes)

## Nice to Have

- Experience with distributed compute for Python workloads: Anyscale Ray, Dask, or Spark
- Experience with Polars and Pandas for data processing
- Familiarity with Datadog for observability, metrics, and tracing
- Cost optimization experience for LLM workloads
- Familiarity with pgvector or other vector stores
- Multi-region AWS deployment experience
- Some TypeScript/Node experience, since parts of the platform live there

## 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 a Software Engineer, AI Platform to build the data platform, LLM pipelines, and agent infrastructure that every AI feature at the company runs on, deployed across Fortune 500 organizations.

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 haven't owned production systems
- You've never operated production pipelines
- You don't want to be on-call
- You dislike constraints (we have them: cost, latency, reliability tradeoffs are real)
- Requirements need to be locked down before you can move

Hiring Process

- Resume screen
- 1:1 with founder
- Technical deep-dive on past data platform or backend 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)

## Other roles at Fluency

- [AI Engineer](https://feeny.ai/job/ai-engineer-fluency-san-francisco-ms31m8mmwth6) — San Francisco, CA
- [Software Engineer, AI Platform](https://feeny.ai/job/software-engineer-ai-platform-anduril-industries-boston-massachusetts-9p7be3a0ayn6) — Boston Massachusetts, United States
- [Software Engineer, AI Platform](https://feeny.ai/job/software-engineer-ai-platform-nominal-new-york-mjaw2v1jzezp) — New York, NY
- [Software Engineer, AI Platform](https://feeny.ai/job/software-engineer-ai-platform-notion-san-francisco-vwmz4yea7fkk) — San Francisco, CA
- [Software Engineer, AI Platform](https://feeny.ai/job/software-engineer-ai-platform-mixpanel-san-francisco-7t11jx10ab0r) — San Francisco, CA