Forward Deployed Engineer (Python / Go) | Production Agentic AI | B2C Start-up, Series A | £100k-£200k + Equity | London (5 Days) | Visa Sponsorship + Relocation

Owen Thomas | B Corp™

Greater London

On-site

GBP 100,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Equity

Visa sponsorship

Relocation support

Job summary

Owen Thomas B Corp in London seeks a Forward Deployed Engineer (Python/Go) to own AI-powered production systems end-to-end. You will collaborate with stakeholders, design scalable backend services, and deploy agentic AI solutions in production.

The role requires 3+ years of software engineering, strong Python/Go skills, and a product-oriented mindset. London-based, full-time with visa sponsorship and relocation support.

Qualifications

3+ years of commercial software engineering experience.
Strong backend engineering experience with Python, ideally Django, or Go with a willingness to work extensively in Python.
Hands-on experience building and deploying LLM-powered applications or agentic AI systems into production.
Strong engineering fundamentals across APIs, SQL, system design and performance.
Experience taking ownership of technical solutions from initial problem discovery through to production.
Comfortable working directly with non-technical stakeholders, understanding their challenges and translating them into engineering solutions.
Experience working in a start-up or fast-paced product engineering environment.
A genuine product and commercial mindset, with an interest in understanding the measurable impact of what you’re building.
Excellent communication skills, strong ownership and the ability to operate independently in ambiguous environments.

Responsibilities

Working directly with technical and non-technical stakeholders to understand problems, gather requirements and identify opportunities for AI.
Designing, building and scaling backend services using Python, with opportunities to work in Go.
Developing and deploying production-grade AI applications, agent workflows and LLM integrations.
Translating ambiguous business requirements into practical, scalable technical solutions.
Building and improving APIs, asynchronous processing systems and data pipelines.
Working on agent orchestration, retrieval systems and AI infrastructure.
Taking ownership of solutions from initial discovery and prototyping through to deployment, iteration and production.
Measuring the impact of what you’ve built and continuously improving solutions based on feedback and real-world usage.

Skills

Backend engineering

Python

LLM/Agentic AI

APIs

SQL

System design

Stakeholder interaction

Startup experience

Communication skills

Tools

Django

GCP

Terraform

Celery

Job description

Company Name: Owen Thomas B Corp

Qualifications: Not specified

Category: I

Job Type: Full Time

Location: London, London, United Kingdom

The Opportunity

We’re working with a well-funded, high-growth technology start-up with a global presence that’s making a significant investment into its engineering team in London.

They’re looking for exceptional Forward Deployed Engineers with strong backend experience who thrive at the intersection of Software Engineering, Product Ownership and AI.

The business is already generating revenue, has an established product in production and is now entering an exciting period of growth.

This is an opportunity to join a small, ambitious engineering team, work closely with stakeholders to understand real-world problems, and take full ownership of designing, building and deploying AI-powered solutions.

£100k–£200k + Equity – Highly competitive compensation with meaningful long-term upside. Exceptional benefits too.
Production AI – Work on real-world AI systems, not experimental proof-of-concepts or another basic LLM wrapper.
End-to-end ownership – Work directly with stakeholders to identify problems, design solutions, build the technology and measure its impact in production.
Strong engineering culture – Work alongside experienced engineers who care about building excellent products and solving difficult problems.
Early-stage opportunity – Join while the engineering team is still relatively small, with significant room for personal and technical growth.
Career progression – Opportunity to grow into Staff, Principal or Engineering Leadership positions as the business scales.

We’re looking for strong, commercially minded Forward Deployed Engineers who enjoy working closely with people, understanding complex problems and building sophisticated AI-powered products.

You’ll operate at the intersection of engineering, product and business, taking ownership of problems from initial discovery through to production deployment.

This isn’t a role where you’ll simply be handed technical specifications or tickets to complete.

You’ll be expected to engage directly with stakeholders, challenge assumptions, identify opportunities for AI and independently design and deliver solutions that create measurable value.

Working directly with technical and non-technical stakeholders to understand problems, gather requirements and identify opportunities for AI.
Designing, building and scaling backend services using Python, with opportunities to work in Go.
Developing and deploying production-grade AI applications, agent workflows and LLM integrations.
Translating ambiguous business requirements into practical, scalable technical solutions.
Building and improving APIs, asynchronous processing systems and data pipelines.
Working on agent orchestration, retrieval systems and AI infrastructure.
Taking ownership of solutions from initial discovery and prototyping through to deployment, iteration and production.
Measuring the impact of what you’ve built and continuously improving solutions based on feedback and real-world usage.

3+ years of commercial software engineering experience.
Strong backend engineering experience with Python, ideally Django, or Go with a willingness to work extensively in Python.
Hands‑on experience building and deploying LLM-powered applications or agentic AI systems into production.
Strong engineering fundamentals across APIs, SQL, system design and performance.
Experience taking ownership of technical solutions from initial problem discovery through to production.
Comfortable working directly with non-technical stakeholders, understanding their challenges and translating them into engineering solutions.
Experience working in a start-up or fast-paced product engineering environment.
A genuine product and commercial mindset, with an interest in understanding the measurable impact of what you’re building.
Excellent communication skills, strong ownership and the ability to operate independently in ambiguous environments.

Nice to have: Go, Django, GCP, Terraform, Celery, RAG, multi‑agent systems and LLM evaluation frameworks.

£100,000–£200,000 base salary + meaningful equity.
Opportunity to join a well-funded technology start-up at an exciting stage of growth.
Significant technical ownership and influence over product direction and architecture.
Work on sophisticated AI systems operating in production.
Direct exposure to stakeholders and the opportunity to see the commercial impact of your work.
Clear progression opportunities as the engineering team expands.
Comprehensive benefits and professional development support.
Visa sponsorship and relocation support available.
London-based engineering team, working predominantly in person.