Hybrid Staff AI Engineer

at Bluefish AI

• Job title: Staff AI Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Cloud, Python
• Location requirements: Hybrid, London, United Kingdom

About the role

• Staff AI Engineer position at Bluefish AI, shaping LLM-powered products in marketing technology through technical leadership and multi-team collaboration.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.
• Wework co-working day-passes.
• PTO and remote work flexibility.