AI Engineer - Data

Almedia
Berlin, London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Ownership","Initiative","Ability to move fast","Systems thinking","Judgment"]

Build and ship the AI behind Almedia’s rewards engine for its rewards and user acquisition products. You’ll tackle open-ended, end-to-end data/AI problems across payer structures and user acquisition, turning fuzzy ideas into agentic systems using agents, LLM pipelines, RAG, retrieval/vector search, and evaluation-driven development. Partner closely with Staff Data Scientists and leadership, and help define the standards for how AI-fluent data scientists build at Almedia.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Almedia
Almedia
2 days ago

AI Engineer - Data

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and ship the AI behind Almedia’s rewards engine for its rewards and user acquisition products. You’ll tackle open-ended, end-to-end data/AI problems across payer structures and user acquisition, turning fuzzy ideas into agentic systems using agents, LLM pipelines, RAG, retrieval/vector search, and evaluation-driven development. Partner closely with Staff Data Scientists and leadership, and help define the standards for how AI-fluent data scientists build at Almedia.
Location: Berlin, London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Create the AI behind the rewards engine, including an agentic next-generation rewards design system to generate and evaluate tailored offers.
  • •Turn open-ended, end-to-end data/org problems into shipped agentic systems across data verticals (e.g., payer structures and user acquisition).
  • •Design agentic systems using agents, pipelines, retrieval, and evaluation—deciding where AI should and should not be used.
  • •Set the engineering standards, patterns, and tooling so AI-fluent data scientists across the team can build consistently.
  • •Collaborate with Staff Data Scientists, the CTO, and leadership to understand business logic and deliver working systems.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •Code with Python and have shipped an agentic AI system (an agent, an LLM pipeline, and at least a real RAG system) used in production.
  • •Build AI-native systems using LLM pipelines, RAG, and modern AI tooling; explain exactly how you used them.
  • •Own AI problems end to end—turn vague briefs into shipped, working systems without needing to be asked.
  • •Move fast by shipping small tests early and iterating against real data.
  • •Experience in adtech, marketplaces, recommendations/ranking, or high-scale consumer products is a bonus.
Experience:AdtechMarketplacesRecommendationsRankingConsumer productsAgentic AIRAG
Skills:OwnershipInitiativeAbility to move fastSystems thinkingJudgment
Tech Stack:PythonLLM APIsOpen modelsLangChainLangGraphLlamaIndexRAGVector searchEvaluation frameworksPrompt and context engineeringBigQuerySQLAWSGCPContainersCI/CD

Company Brief

Almedia
Almedia builds rewarded user-acquisition and engagement products (e.g., Freecash, Prizeplay, zave.it) that pay users for interacting with ads and games, helping advertisers drive high-LTV acquisition and retention.
Industry: Advertising Media Groups
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Bootstrapped
Headquarters: Berlin, Germany
Founded: 2020
Glassdoor
Glassdoor: 3.7
WebsiteLinkedInGlassdoor