Senior AI Engineer - Marketing

Requirements

• Bachelor’s degree in Computer Science,
  Artificial Intelligence, Software Engineering, or a related field.
  
• 5+ years of backend software development
  experience, including 2+ years building and deploying LLM or generative AI
  applications in production.
  
• Proven experience leading or mentoring a team
  of engineers, with accountability for delivery commitments as well as for code.
  
• Strong proficiency in Python, FastAPI and
  PostgreSQL, with solid experience of cloud infrastructure, ideally AWS.
  
• Hands-on experience across the model lifecycle
  – adaptation or fine-tuning, systematic evaluation, deployment and serving.
  
• Experience with retrieval-augmented generation
  and vector search (pgvector, OpenSearch, Qdrant or similar).
  
• Strong analytical and stakeholder-facing
  skills: able to establish what non-technical business users actually need and
  turn it into a specification a team can build against.
  
• Excellent communication skills and full
  professional proficiency in English, with the confidence to present trade-offs
  and delivery risk to senior stakeholders.
  
• A track record of shipping incremental features
  into a live product without regression.
  
  

• Experience with content generation, marketing
  technology or creative production platforms.
  
• Experience with multi-agent orchestration
  frameworks (e.g., LangGraph, CrewAI, AutoGen, LlamaIndex) or the Model Context
  Protocol (MCP).
  
• Familiarity with multilingual NLP or machine
  translation, and with evaluating language quality beyond automated metrics.
  
• Experience building workflow engines,
  multi-stage approval flows, or role-based access control.
  
• Familiarity with FinTech platforms, FX trading,
  or financial services operations.
  

Benefits

• Hybrid
  Work Model (2 days working from home)
  
• Comprehensive
  Health Insurance (from day one!)
  
• 21
  days of Annual Leave
  
• Birthday
  Leave
  
• Referral
  Bonus Program ​