5 дней назад
Generative AI Engineer (Product Intelligence)
20 000 - 25 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Generative AI Engineer (Product Intelligence) (Python/LLM/Kafka): Building generative AI services and pipelines for product categorisation, enrichment and matching at scale with an accent on prompt engineering, LLM orchestration, embeddings and evaluation. Focus on running feasibility studies, designing event-driven production services, detecting model and prompt drift, and supporting human-in-the-loop validation and responsible AI governance.
Location: Must be based in or near Kraków, Poland. Hybrid role with 60% of the week, or three days, spent collaborating at office locations or local sites and the remainder remotely.
Salary: 20,000–25,000 PLN gross per month.
Company
Tesco develops large-scale products and technology that improve experiences for customers, colleagues and communities.
What you will do
- Lead generative AI feasibility studies and proofs of concept, then turn successful concepts into production designs.
- Design and build Python services integrating Azure OpenAI GPT-4 through a GenAI Service facade, including prompt engineering, evaluation and iteration.
- Build embedding-based similarity and scoring pipelines with PostgreSQL and pgvector.
- Develop event-driven, high-volume data processing services on Apache Kafka.
- Contribute to LLM observability, regression testing, drift detection, human-in-the-loop validation and responsible AI governance.
- Collaborate with product managers, data stewards and engineers to translate ambiguous product intelligence problems into technical solutions.
Requirements
- Recent production experience building backend services in Python with FastAPI, Django, Flask or a similar modern framework.
- Hands-on production or near-production experience with LLMs and prompt engineering.
- Experience with embeddings and vector similarity using pgvector or an equivalent vector database.
- Good understanding of event-driven architecture and Apache Kafka.
- Experience with cloud platforms, preferably Azure, and software engineering practices including CI/CD, testing and code review.
- Ability to work through ambiguous research-shaped problems and communicate clear requirements and implementation plans.
Nice to have
- Experience with Langfuse or similar LLM observability and evaluation tooling.
- Experience with multi-agent systems, Java/Spring Boot, Kubernetes, Azure Kubernetes Service or Terraform.
- Knowledge of retail, e-commerce, data quality or governance principles.
- Experience mentoring or upskilling others in applied generative AI.
Culture & Benefits
- Permanent employment contract from the start.
- MacBook, certified technical training and learning platforms such as Udemy.
- Private healthcare, cafeteria benefits and Multisport access.
- Additional four days of paid leave and an expanded holiday allowance of up to 25 days.
- Referral bonus and up to 20% annual performance-based bonus.
- Inclusive workplace with reasonable-adjustment support during recruitment.
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