Staff AI Engineer

🕒 Junho 30

🇬🇧 Reino Unido – Remoto (RU)

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

👻 Score fantasma 37%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Bluefish AI

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2024

📣 Marketing

🤖 Inteligência Artificial

☁️ SaaS

Marketing • Artificial Intelligence • SaaS

A Bluefish AI é uma empresa de tecnologia que se especializa no desenvolvimento de soluções avançadas de inteligência artificial para aprimorar processos de tomada de decisão e melhorar a eficiência em vários setores. A empresa utiliza algoritmos inovadores e técnicas de aprendizagem de máquina para fornecer insights baseados em dados e soluções automatizadas para empresas.

Descrição

• 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.

🎯 Requisitos

• 8+ years building and operating production data systems, including leading cross-cutting architectural changes, and deploying LLMs in real‑world scenarios at scale. • Deep experience Python and modern service architectures; strong system design and data modeling fundamentals. • Extensive experience with training and deploying machine learning models, particularly within the NLP/LLM domain. Proficiency in Python. 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. Experience with data preprocessing, feature engineering, and model evaluation techniques. • 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.

🏖️ Benefícios

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI • Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry • Join an experienced high-performing team where you will have immediate ownership and impact • Experience a true meritocracy with significant career growth upside as the business scales

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