Artifact AI

Staff Product Engineer

Full-time On-site or Remote

London, UK (preferred) New York City, NY Remote (UK) Remote (US)

$150K - $250K

About this role

We are seeking a Staff Product Engineer to join Artifact at a pivotal moment – as we

scale our AI-native platform across some of the world's largest accounting firms. You

will sit at the intersection of complex financial data, a gentic AI, and the enterprise-

grade systems that the accounting industry has relied on for decades. This is not a role

for someone who wants to specialise narrowly. You will own meani ngful surface area

end-to-end, from database schemas to the front-end component a client clicks on a

Tuesday, moving into the AI layer, the infra, or wherever the problem actually lives.

The accounting domain has resisted automation for 500 years because of its

complexity, its fragmentation, and the rigour it demands. Xero and Intuit have barely

moved the needle. We are building something more ambitious – agentic workflows

that sit on top of ERP systems like Workday and SAP, automate the high-volume, low-

value work that consumes accountants' time, and give firms the capacity to take on

more clients and do more meaningful work for the ones they have. The engineers who

thrive here understand that domain depth and technical craft are not separate things –

they are the same thing applied at different levels of the stack.

Key Responsibilities

Own and ship product features end-to-end across the full stack – backend (Python,

async, distributed systems) as the home base, with movement into AI, front end, and

infra as the work demands

Design and build reliable, high-quality systems with a strong emphasis on system

design and production-grade engineering

Integrate with and build on top of complex ERP and HCM systems (Workday, SAP,

and similar) and financial data pipelines

Develop configurable data extraction and ingestion workflows to handle the diverse

and often non-standard data formats that come with enterprise accounting

environments

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Build and iterate on AI-powered agentic workflows in close collaboration with AI

engineers, contributing to the intelligence layer when the problem calls for it

Leverage AI tooling aggressively to multiply your output – and know when to put

the tools down and get your hands dirty so the quality bar holds

Push back when direction is wrong, raise the bar of the people around you, and take

real ownership over what you build

5 - 10 years of experience

as a full-stack software engineer building complex products

Salary

$150K - $250K

Equity

Competitive

Visa sponsorship not available

On-site or Remote work policy

Hybrid in London (preferred; flexible on days per week) but remote in UK or US acceptable (strong preference for Eastern Time if in the US)

Full-time position

Location

London, UK (preferred), New York City, NY, Remote (UK), Remote (US)

Report to

https://www.linkedin.com/in/ahmedsalhin/

Tech stack

Python

About Artifact AI

Artifact is rebuilding accounting from the ground up. Not incrementally improving the

software – rebuilding the work itself, so one accountant can do what a team used to do

and a set of books closes itself in the background while a human stays in the loop.

Two products do the heavy lifting. Arti handles the core accounting workflow –

ingestion, matching, reconciliation, and journal posting. Omni sits on top of 600+

platforms and lets accounting firms build agentic workflows in natural language,

capturing their expertise and operationalising it at scale. Together they are not a

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productivity tool – they are a new layer of infrastructure for how accounting work

actually gets done.

The firms using Artifact today are not experimenting. They are running their clients'

month-end on it. Backed by a16z and based in London and New York, Artifact is at the

point where the technology is proven, the clients are real, and growth is about to bend

sharply. The people joining now will shape what that looks like.

Team size

20 employees

Founded

2025

Website

getartifact.com

LinkedIn

Visit

Total funding

$4.5M

Company locations

London, UK +3

Tech stack

Python

Paraform

Terms

Privacy

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Decagon

Customer Engineer, Agent Builder (London)

Full-time On-site London $175K - $230K

About this role

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver

concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s

Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents

that power personalized, deeply satisfying interactions across voice, chat, email, SMS,

and every other channel.

We’re building a future where customer experiences are being redefined from support

tickets and hold music to faster resolutions, richer conversations, and deeper

relationships. We’re proud to be backed by world-class investors who share that vision,

including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with

many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity.

Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and

The Polymath Principle — shape how we work and grow as a team.

About the Team

Over the past few years, development of LLMs has evolved at a rapid pace. It’s not

enough for our customers to just “set it and forget it” when it comes to AI software.

Truly successful AI Agents require hands-on execution, rigorous iteration, and deep

technical delivery to reach enterprise-grade performance.

We’re creating an Agent Builder Org: a specialized technical delivery team responsible

for end-to-end execution of AI agent builds. Agent Builders own the hands-on work

required to deliver best-in-class agents—writing and configuring key components,

validating integrations, and ensuring agents perform reliably at scale. This team brings

greater specialization and focus to build quality. Agent Builders are technical and

customer-facing: you’ll interface with senior technical stakeholders on the customer

side while also going deep on agent configuration and build execution.

About the Role

As a Customer Engineer, Agent Builder, you will be responsible for end-to-end

execution of AI agent builds for strategic customers. This is a highly technical delivery

role where you will own the implementation work required to launch and scale

enterprise-quality agents—partnering with customers and internal teams to define

success, translate requirements into build plans, and deliver agents that meaningfully

impact the customer’s business.

You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to

create tight feedback loops: executing builds, surfacing gaps, and influencing the

evolution of Decagon’s agent-building platform based on real customer needs. This role

is ideal for someone who thrives in fast-moving environments, enjoys shipping

customer-facing technical work, and can balance hands-on execution with structured

thinking.

In this role, you will

Own end-to-end execution of AI agent builds for enterprise customers, from initial

scoping through launch and iteration.

Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent

behavior to optimize quality, reliability, and business outcomes.

Configure and validate guardrails to ensure safe, compliant, and predictable agent

performance across real-world scenarios.

Set up, test, and validate customer integrations (e.g., ticketing systems), including

building tools and workflows needed for successful deployments.

Interface with senior technical stakeholders at customers to define success criteria,

gather requirements, and drive delivery against timelines.

Translate customer needs into clear internal documentation and run tight feedback

loops with Engineering to drive platform improvements.

Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver

consistent, repeatable, best-in-class agent builds.

Your background looks something like this

Have (ideally) 5+ years of relevant experience in a technical customer-facing role

(e.g., solutions engineering, forward-deployed engineering, technical consulting,

implementation engineering, technical product/PM, or similar).

Strong technical foundation: comfortable writing code, working with APIs, and

building/validating integrations end-to-end.

Experience delivering production-grade customer solutions that require structured

execution, testing/validation, and iteration.

Ability to communicate clearly with senior technical stakeholders, translate

requirements into implementation plans, and drive delivery.

Comfort working in fast-moving, ambiguous environments where you shape

solutions as much as you implement them.

Even better if you have

Experience building with or around LLMs / AI agents (prompting, evaluation,

guardrails, tooling, workflow design, etc.).

Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data

pipelines) and associated security/compliance considerations.

A Computer Science, Engineering, or Math degree, or equivalent technical

experience.

Strong product instinct: ability to write crisp PRDs, define success metrics, and

contribute customer insight back into product roadmap.

5 - 10 years of experience

in a technical, post-sales, customer-facing role for a complex B2B SaaS product (FDE, SE, SA, Implementation Engineer, Field Engineer, SWE who wants to move to customer-facing)

Salary

$175K - $230K

Equity

Competitive equity

Visa sponsorship available

On-site work policy

5 days in-office in London (SF and NYC have separate listings)

Full-time position

Location

London

Report to

https://www.linkedin.com/in/perryha95/

Tech stack

Python

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver

concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s

Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents

that power personalized, deeply satisfying interactions across voice, chat, email, SMS,

and every other channel.

We’re building a future where customer experiences are being redefined from support

tickets and hold music to faster resolutions, richer conversations, and deeper

relationships. We’re proud to be backed by world-class investors who share that vision,

including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with

many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity.

Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and

The Polymath Principle — shape how we work and grow as a team.

Team size

220 employees

Founded

2023

Website

decagon.ai

LinkedIn

Visit

Total funding

$231M

Company locations

San Francisco, CA

About the team

Founders

Jesse Zhang | Co-founder & CEO

Ashwin Sreenivas | Co-founder

Tech stack

Python

Paraform

Terms

Privacy

Lead Backend Engineer

Location: London | Full-time

About LightWork AI LightWork AI is building the operating system for modern property management. Our platform, Felicity, is an intelligent AI assistant that automates the operational workload that slows down property managers, letting agents and build-to-rent teams. Felicity manages communications, compliance, maintenance coordination and scheduling — enabling property businesses to operate with the efficiency of modern digital platforms. The UK property management services industry is undergoing a structural shift toward automation. Property teams currently spend up to 75% of their time on repetitive operational admin, and our AI is designed to automate up to 80–90% of these workflows. We are already live with pilot customers, with overwhelmingly positive feedback and strong demand for the product as we scale toward revenue in 2026. LightWork AI is backed by experienced founders, industry advisors, and investors, and we are building toward a clear goal: to create the defining AI platform for property operations and build a unicorn company in the process. This is a rare opportunity to join early and help shape the technical backbone of a fast-scaling AI company.

The Role We are looking for a Lead Backend Engineer to own and lead the development of the backend systems that power LightWork AI's platform. This is a senior, hands-on engineering leadership role. You will design and build the scalable APIs, services, and integrations that underpin Felicity — our AI-powered property management assistant — while setting the technical direction and standards for the backend engineering team. You will work closely with our AI engineers, data engineers, and product teams to translate complex property workflows into reliable, production-grade systems. As a lead, you will also mentor other engineers and contribute meaningfully to architecture decisions across the stack. This role is ideal for a technically strong engineer who is equally comfortable writing great code and driving engineering culture in a fast-moving startup environment.

Key Responsibilities

Backend Architecture & Engineering • Architect, design, and build scalable backend systems and APIs using Node.js and

TypeScript. • Design and maintain microservice and event-driven architectures that support

Felicity's real-time operational workflows. • Build and maintain RESTful APIs used by internal systems and customer-facing

applications. • Develop and maintain data pipelines and background job systems that process

operational events across property workflows. • Integrate backend services with AI models, LLMs, and automation workflows. • Ensure systems are secure, performant, reliable, and maintainable at scale.

Engineering Leadership • Contribute to technical strategy and architecture decisions across the engineering

team. • Mentor and support backend engineers, fostering a high-performing team culture. • Lead and participate in code reviews, setting high standards for code quality and

testing. • Collaborate with Product, AI, and Data teams to translate business requirements into

well-scoped technical solutions. • Help define and improve development practices, tooling, and engineering workflows.

Reliability & Observability • Deploy, monitor, and maintain production services with a strong focus on uptime and

performance. • Implement logging, observability, and alerting frameworks to ensure system health. • Debug and resolve complex issues across backend systems and third-party

integrations. • Own incident response and post-mortems for backend-related issues.

Requirements

Core Experience • 7+ years of professional backend or full-stack software engineering experience. • Deep expertise in Node.js with TypeScript. • Strong experience designing and building RESTful APIs and backend service

architectures. • Proven experience leading engineering projects or teams, including mentoring more

junior engineers. • Experience building and operating systems in microservice or event-driven

architectures. • Strong understanding of data modelling, storage, and relational databases

(PostgreSQL preferred). • Experience with Git, CI/CD workflows, and modern software development practices. • Comfortable debugging production systems and working with logs and monitoring

tooling.

• Strong problem-solving and system design skills, with the ability to navigate ambiguity in an early-stage environment.

Nice to Have • Production experience building APIs with Python (FastAPI, Flask, or Django). • Experience integrating with AI or LLM-based systems. • Familiarity with stream processing, message queues (e.g. Kafka, RabbitMQ), or

event-driven architectures. • Experience with cloud infrastructure (GCP, AWS, or Azure) and containerised

services (Docker, Kubernetes). • Experience working with vector databases or ML data pipelines. • Familiarity with NestJS or similar backend frameworks. • Previous experience in high-growth startups or early-stage companies.

What We’re Looking For • A senior engineer with genuine ownership mentality — someone who builds things

that last and cares about the craft. • Comfortable leading from the front: making decisions, setting direction, and holding

the bar on quality. • A collaborative team player who works well across functions including product, AI,

and data. • Strong communicator who can translate technical complexity for non-technical

stakeholders. • Excited by the opportunity to build in a fast-moving startup solving a large, real-world

problem.

Why Join LightWork AI • Lead backend engineering at a category-defining AI company from an early stage. • Work directly with the founders and core engineering team with genuine ownership

and influence. • Competitive salary + equity — share in the upside of what we build together. • Shape engineering culture, architecture, and tooling from the ground up. • Build technology that automates and transforms the UK property management

industry.

Lead AI/Python Engineer | Equity + Cash Location: London | Full Time About LightWork AI LightWork AI is a Service-as-a-Software (SaaS) company that automates property management workflows (compliance, maintenance, lettings, and tenant support) through Felicity, an AI assistant capable of handling up to 80% of admin tasks autonomously.

Designed for the UK’s regulation-driven market, LightWork AI delivers enhanced capacity, reduced admin costs and zero missed communications for property management & lettings agencies, while giving tenants the confidence that their homes are safe, compliant and their needs are always met. The Role We are seeking a Lead Python Engineer to join our growing team. This is a high-impact role for a technically strong engineer who thrives on building scalable AI-driven systems, mentoring other engineers, and shaping the engineering practices of a fast-scaling AI startup. You will collaborate closely with Product, AI, software engineers and Design teams to deliver robust backend systems and intelligent software solutions that directly impact the business and end users. Key Responsibilities:

● Architect, design, and build scalable backend systems and APIs using Python. ● Optimize and scale data pipelines for reliability, efficiency, and performance. ● Write, review, and maintain clean, testable code. ● Contribute to technical strategy, architecture decisions, and code reviews. ● Mentor junior engineers and foster a high-performing team culture. ● Collaborate with Product and Design teams to translate business needs into

technical solutions. ● Drive innovation in AI integration, automation, and system scalability. ● Ensure systems are secure, performant, and maintainable.

Requirements:

● First-class or strong degree in Computer Science, Engineering, or related field. ● 3 -10 years of hands-on software engineering experience, ideally in AI, SaaS, or

automation platforms. ● Deep expertise in Python; familiarity with FastAPI, Flask, or Django. ● Experience with Node.js, cloud infrastructure, and microservices-based systems. ● Familiarity with data pipelines, Git, and CI/CD workflows. ● Proven ability to lead projects and mentor engineers. ● Excellent problem-solving, collaboration, and communication skills.

Nice to Have:

● Experience contributing to open-source projects. ● Containerization (Docker/Kubernetes) and microservices architecture experience.

What We Offer:

● Competitive salary and equity options — share in the success you help create. ● Opportunity to shape the engineering culture and technology roadmap from the

ground up. ● Work in a collaborative, mission-driven AI startup redefining property management. ● Be part of a team building AI-driven solutions that directly impact real-world

problems.