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Staff AI Engineer
Staff AI Engineer Bluefish
About the Role
As a Staff AI Engineer, you’ll act as a technical leader for our LLM-powered products at the intersection of marketing and advertising technologies. Your expertise will shape core AI-driven initiatives, full-stack data platforms, and high-impact outputs that drive real-world business results.
In this critical role, you’ll:
- Own end-to-end AI/ML architectures, from data pipelines to model deployment and evaluation, ensuring technical excellence and scalability.
- Lead architectural decisions that balance performance, cost efficiency, security, and operational reliability at scale.
- Translate business needs into actionable, high-quality data products, influencing both short-term experiments and long-term product roadmaps.
- Define and enforce best practices across testing, observability, data governance, and infrastructure governance.
- Mentor engineers, improve team-wide technical Barbara, and democratise AI/data literacy across the business.
- Bridge technical and cross-functional collaboration, fostering seamless workflows between engineering, product, design, and DevOps.
We value mission-driven innovation, intrapreneurial autonomy, and a can-do mindset. Based in London, the role offers flexibility for hybrid or fully remote work within the UK.
Responsibilities
- Architecture: Design and lead resilient, scalable data platforms and LLM integration pipelines. Align safety, performance, and cost-efficiency with business goals.
- Scale and reliability: Incrementally scale systems to meet growth demands while maintaining SLIs and reduction of production impact.
- ROI-driven execution: Draft RFCs, frame workflows, and prioritise workplans that ship innovative yet defensible solutions.
- Engineering governance: Charter rigor in testing strategies, SLAs, incident response, and security, while balancing pragmatism with forward-looking priorities.
- Cross-team leadership: Advise on systems trade-offs, mentor developers, and document best-practice patterns—from MVP architecture to greenfield features.
- Diversity experiments: Prototype ML/AI capabilities, assess adoption feasibility, and strategically justify moves into production alongside scalable operating models.
- Collaboration: Partner with product, design, and DevOps to maximise AI’s impact while embedding trust in our clients’ tools.
- Global impact: Render complex data insights accessible to non-technical stakeholders, and amplify your technical output through mentorship and team culture.
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Requirements
- 8+ years producing data and MLLM systems, with proven experience scaling and integrating AI products at enterprise level including:
- Architectural leadership across full stacks: synchronization of data pipelines (ETL, streaming), model deployment, evaluation frameworks, and continuous learning.
- LLM/NLP domain expertise alongside broad rigor in Python, machine learning fundamentals, and modern cloud ecosystems (e.g., MLOps pipelines, CI/CD).
- Strategic collaboration with infra-as-code, DevOps, and cloud cloud) to foster cost-controlled, high-performing integrations.
- Observability-first champion: Deep proficiency in SLOs, on-call operations, logging metadata, dashboards, tracing, or AIOps tools.
- Product mindset: Ability to break down abstract business goals into testable data products and articulate trade-offs around time-to-market, scalability, or business value.
- Entrepreneurial traits: Thrives in ambiguity, holds colleagues accountable without stifling creativity, and removes blockers autonomously.
Desired Qualifications
- Portfolio showcasing scalable system deployments (e.g., Batched processing system optimisation, multi-model scoring analysis, data pipeline efficiency wins).
- Track record mentoring away teams, establishing systemic peer learning within the organisation, or refining engineering documentation.
- Background in ad-tech, marketing tech, or agency particularly valuable but not exclusively required.
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About Bluefish
Bluefish is reimagining advertising by building the AI-native platform connecting brands to customers. As AI reshapes the media landscape, our tools will empower marketers to craft personalised, brand-safe interactions—driving a new era of engagement for Fortune 500 clients.
Our team draws from mar-tech stalwarts behind platforms now owned by Meta and Microsoft. We recently closed a £$43 million Series B lead in aiding growth.
New York-based operations with a ** européenne engineering hub** positioned our debate on AI-first innovation.
Benefits & Values
Why Join Bluefish?
- First-mover advantage: Shape the AI marketing industry from scratch and compete with legacy $300B ad-tech barriers.
- Clout with ownership: A low bureaucratic, high-impact environment where leadership dynamics scale with business growth.
- Meritocracy: A Direct 20+ growth vector for top talent and entrepreneurial latitudes on ideation and execution.
- Fund backed: Backed by preeminent VC firms (incl. Threshold Ventures, Bloomberg Beta) and corporate reinsurance from NEA or Salesforce.
Culture
"Roll up the sleeves, trust the team":
- Grut resolve to iterate without excuses.
- Resourcefulness-driven—questions will get answered; spatial narratives welcome ambiguity with ideas.
- Rigour as craft: Balancing generative AI excitement with reliability-first shipping.
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