Tesco Technology

Generative AI Engineer (Product Intelligence)

20k - 25k PLN20 000 - 25 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·KrakówFull-time·Umowa o pracę

#459098·Dodano 12 dni temu·7

Źródło: nofluffjobs.com

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Tech Stack / Keywords

CloudPythonAIApache Kafka Django LLM Azure Java AKS

Firma i stanowisko

Tesco Technology develops a generative AI-driven Product Intelligence Platform that automates product categorisation, enrichment, and matching across a vast catalog using multi-agent generative AI systems on an event-driven Kafka architecture. The team works on handling large-scale product data processing and AI integration to improve data operations at Tesco.

Wymagania

Solid, recent experience building production backend services in Python with modern frameworks (e.g., FastAPI, Django, Flask).
Practical, hands-on experience with large language models (LLMs) and prompt engineering in production or near-production.
Experience with embeddings and vector similarity using pgvector or equivalent vector databases.
Good understanding of event-driven architectures and Apache Kafka.
Experience working on ambiguous, research-shaped problems and delivering production solutions.
Experience with cloud platforms, preferably Azure.
Understanding of software engineering best practices including CI/CD, testing, and code review.
Strong communication skills for working with stakeholders to translate ambiguity into clear requirements.

Nice to have:

Experience with LLM observability and evaluation tooling (Langfuse).
Experience with multi-agent systems.
Familiarity with Java/Spring Boot due to the polyglot platform.
Experience with Kubernetes (Azure Kubernetes Service) for container orchestration.
Experience with Infrastructure as Code (Terraform).
Knowledge of retail or e-commerce domain.
Understanding of data quality and governance principles.
Experience mentoring or upskilling others in generative AI or hiring involvement.

Obowiązki

Leading generative AI feasibility studies and proofs of concept for new product intelligence capabilities.
Designing and building generative AI solutions integrating large language models (e.g. Azure OpenAI GPT-4) including prompt design and evaluation.
Building and maintaining embedding-based similarity and scoring pipelines using PostgreSQL with pgvector.
Contributing to LLM observability and evaluation practices (e.g. with Langfuse), including regression testing and drift detection.
Supporting Human-in-the-Loop tooling for reviewing generative AI output.
Contributing to responsible generative AI governance, audit support, and release criteria for prompt and model changes.
Building event-driven services in Python for high-volume data processing on Apache Kafka.
Collaborating with product managers, data stewards, and engineers to translate business problems into technical designs.
Sharing generative AI knowledge and contributing to upskilling internally.
Optionally representing the team’s generative AI work externally at conferences or in the tech community.

Benefity

Up to 20% yearly salary bonus based on individual and business performance.
Permanent contract from the start.
Tax-deductible expenses (IP).
Private healthcare (LuxMed).
Cafeteria and Multisport sports subscription.
Additional 4 days of paid leave.
Increase in annual leave from 20 to 25 days for some employees.
Certified technical training and learning platform access (Udemy).
1 day off for parents of primary school children (Back-to-school day).
Fertility leave: up to 2 weeks paid leave for IVF treatment.
Sports activities with a personal trainer in the office.
Referral bonus.
MacBook as a work tool.
PetHelp support for pets.
Bike parking.
Shower room.
Free parking.
Modern office environment.

Premie

Opieka zdrowotna

Karta sportowa

Płatny urlop

Dofinansowanie szkoleń

Spotkania integracyjne

Telefon

Parking dla rowerów

Prysznic

Parking dla aut

Napoje w biurze

Darmowe przekąski

Inne informacje

This role requires being based in or near Kraków with approximately 60% of the workweek (3 days) spent collaborating onsite at office locations or local sites, and the remainder remote.

Tesco Technology

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