Staff AI Engineer

Bluefish AI; England; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

A leading AI technology firm in the UK is seeking a Staff AI Engineer to lead the architecture for LLM-powered products. You will tackle challenges in AI-driven technologies, ensuring reliable data platforms and integrating ML capabilities to deliver innovative solutions. Ideal candidates will have over 8 years of experience and strong Python skills. The role offers competitive compensation and flexibility for hybrid or remote work.

Benefits

Competitive salary

Significant equity package

PTO and remote work flexibility

Qualifications

• 8+ years in production full-stack systems, leading architectural changes.
• Deep experience in Python and service architectures.
• Strong analytical and problem-solving abilities.

Responsibilities

• Lead end-to-end architecture for data platforms and pipelines.
• Translate business goals into actionable data products.
• Establish and enforce engineering standards.

Skills

Python

System Design

Data Modeling

Communication Skills

Analytical Skills

Tools

CI/CD

Cloud Infrastructure

Infrastructure as Code

Job description

As a Staff AI Engineer, you’ll serve as a technical leader for our LLM‑powered products at the forefront of marketing and advertising technologies. You’ll own critical architectural decisions, set quality bars, and lead multi‑team initiatives that drive measurable outcomes.

As our Staff AI Engineer, you will lead the vision and execution of our data platform and LLM‑powered products. You’ll own critical architectural decisions across data pipelines, model integration, model deployment and evals: turning high‑level product and business requirements into robust, scalable data products that drive measurable outcomes for our Fortune 500 customers. This role spans data backend and ML engineering: from the reliability and cost efficiency of our pipelines to the outcome and performance of LLM‑enabled features. You’ll raise the bar for data literacy across the department, craft and collaboration.

You’ll be accountable for the health, cost, and evolution of key data product and data platforms, partnering closely with AI engineers, product, design, and devops to deliver outcomes our customers can trust.

This role presents an exciting opportunity to shape the future of AI‑driven technologies and make meaningful contributions to real‑world applications.

The role is linked with our location in London, but we are flexible about hybrid or remote work in the United Kingdom.

What You’ll Be Doing

• Lead end‑to‑end architecture for data platforms and pipelines: scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
• Incrementally scale pipelines and systems: design safe rollout plans and north star data‑quality metrics to handle customer and traffic growth without impacting production.
• Translate business goals into actionable data products: assess high‑level requirements, carve clear problem spaces, draft crisp RFCs, and sequence work into deliverable projects for the team.
• Establish and enforce engineering standards: testing strategy, evals, observability, data contracts, and security practices across services. Think through short‑term and long‑term goals to come up with fast go‑to‑market products, while planning ahead for productization.
• Up‑level the org: lead architecture reviews, codify patterns, mentor Senior Engineers, and multiply impact through documentation, code reviews, and pairing.
• Startup‑ready: flexible, comfortable with ambiguity and constant change; proactive about process, documentation, and reliability without over‑engineering.
• Lead the collaboration and define how AI engineers work cross‑functionally with software engineers, devops, product managers and designers, to conceptualize and shape innovative and impactful solutions. Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
• Ship meaningful experiments: prototype data/ML capabilities, evaluate feasibility and ROI, and make pragmatic calls on productionalizing with an eye on operating costs and risk.

Qualifications

• 8+ years building and operating production full‑stack systems, including leading large‑scale architectural changes or platform initiatives.
• Deep experience Python and modern service architectures; strong system design and data modeling fundamentals.
• Familiarity with infrastructure as code, CI/CD, and cloud infrastructure.
• Fluency in operational maturity: SLOs, on‑call/incident practices, and observability.
• Strong analytical and problem‑solving abilities with a bias towards action and outcomes.
• Excellent communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders. Demonstrated leadership experience, with the ability to guide and inspire a team.

What We Offer

• A dynamic role at the forefront of AI marketing technology with ample opportunities for personal and professional growth.
• Unique opportunity to join on the ground floor of a fast‑moving startup building at the center of AI.
• Tackle challenging problems while disrupting the $300BN legacy martech industry.
• Join an experienced team where you will have immediate ownership and impact.
• Competitive salary and bonus appropriate for experience and company stage.
• Significant equity package appropriate for company stage.
• PTO and remote work flexibility.

About Bluefish

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage how their brand is represented in AI.

The Bluefish team is a tight‑knit group of martech industry veterans who previously helped build foundational ad‑tech platforms now owned by Meta and Microsoft. The company is backed by leading AI and data focused investors, including Crane Ventures, Swift Ventures, BloombergBeta, Firebolt Ventures, and Laconia Capital.

We are a globally distributed team, with business operations based in New York City and engineering based in Europe.