AI Engineer, Assistant Vice President

Technologies we use

About the project

Your responsibilities

• Design, build, and deploy production AI and ML solutions
• Develop LLM-based applications, including prompt engineering and inference workflows
• Build RAG pipelines using structured and unstructured enterprise data
• Implement embeddings, semantic search, and vector-based retrieval
• Develop agent-based and multi-step AI workflows
• Build and maintain AI services and APIs for enterprise use
• Implement MLOps / LLMOps practices, including:
• Model deployment, versioning, and monitoring
• Evaluation, logging, and rollback strategies
• Optimize systems for performance, scalability, and cost efficiency
• Integrate AI solutions with Databricks, Snowflake, and cloud platforms (Azure / AWS)
• Ensure data readiness for AI use cases (quality, access, transformation)
• Integrate AI solutions with enterprise data platforms and APIs
• Partner with data teams to support AI-driven pipelines and workflows
• Implement controls for data privacy, security, and model reliability
• Apply techniques for validation, explainability, and hallucination mitigation
• Align with enterprise standards for compliance and auditability
• Translate business problems into deployable AI solutions
• Deliver use cases such as:
• Intelligent document processing
• AI copilots for operations and analytics
• Data-driven insights for markets and corporate functions

Our requirements

• Strong programming skills in Python
• Experience building production-grade AI/ML systems
• Experience with microservices and API-based architectures
• Hands-on experience with: LLMs and prompt engineering, RAG pipelines and embeddings, Vector search and retrieval systems
• Experience building agent-based AI workflows
• Experience with platforms such as Databricks, Azure AI, or AWS AI services
• Knowledge of MLOps / LLMOps, including deployment and monitoring
• Ability to optimize systems for latency, scale, and cost
• Understanding of data engineering concepts and distributed systems
• Ability to integrate AI systems with enterprise data platforms and APIs
• Experience working in regulated or enterprise environments
• Ability to translate business needs into practical AI solutions
• Strong collaboration and communication skills
• B.S. degree in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred.
• Min. 8-10 years of relatable experience including 3+ years in AI/ML/Generative AI

Optional

• Experience in financial services or capital markets
• Familiarity with Databricks or Snowflake
• Experience building: AI copilots, Document intelligence solutions
• Exposure to AI governance or model risk frameworks

What we offer

• Permanent contract from day one​
• Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​
• Gold Medical Package for employees and their families (partner and children)​
• Premium life insurance package and private pension plan​
• Wide range of soft skills training, technical workshops, language classes and development programs​
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​
• Variety of well-being programs​
• Additional benefits available depending on the seniority of the role

Benefits

Minimum Salary:​ zł182,004 Annual