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About the Role

As a Staff AI Engineer, you will serve as a technical leader for LLM-powered products in marketing and advertising technologies. You will own critical architectural decisions, set quality standards, and lead multi-team initiatives to drive measurable outcomes. This role spans data backend and ML engineering, focusing on the reliability, cost-efficiency of pipelines, and the performance of LLM-enabled features. You will raise the bar for data literacy and foster collaboration across departments.

Responsibilities

Lead end-to-end architecture for data platforms and pipelines, including scraping, data extraction, transformation, storage, serving, and ML/LLM integration, balancing performance, reliability, security, and cost.
Incrementally scale pipelines and systems by designing 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 by assessing high-level requirements, defining problem spaces, drafting RFCs, and sequencing work into deliverable projects.
Establish and enforce engineering standards for testing, evaluations, observability, data contracts, and security practices across services.
Up-level the organization by leading architecture reviews, codifying patterns, mentoring Senior Engineers, and multiplying impact through documentation, code reviews, and pairing.
Lead the collaboration and define how AI engineers work cross-functionally with software engineers, devops, product managers, and designers to conceptualize and shape innovative solutions.
Provide mentorship to junior team members and cultivate a culture of collaboration and innovation.
Ship meaningful experiments by prototyping data/ML capabilities, evaluating feasibility and ROI, and making pragmatic calls on productionalizing with a focus on operating costs and risk.

Requirements

8+ years building and operating production data systems, including leading cross-cutting architectural changes and deploying LLMs at scale.
Deep experience in 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, including 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.

Skills

Python
LLM
Data Platforms
Data Pipelines
Machine Learning
NLP
Infrastructure as Code
CI/CD
Cloud Infrastructure
Observability
System Design
Data Modeling

Location

Berlin
Remote (Germany)

Work Type

Remote
Hybrid

Experience Level

Staff
Senior

About the Company

Bluefish believes AI represents the next major chapter of the internet, and brands will need new tools and technologies to tell their stories online. Bluefish is building the platform that helps brands engage consumers on this new AI channel with powerful enterprise tools for AI brand safety and personalized AI marketing experiences.
The Bluefish team consists of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft.
Bluefish is the leading AI marketing platform for the Fortune 500 and recently announced a $43 million Series B growth financing.
The company is a globally distributed team with business operations based in New York City and engineering based in Europe and New York.