AI Engineer (AI/ML)

AI Engineer (AI/ML)

Mindbox Sp. z o.o.

30000 - 33000 PLN / HOUR
Hybrid
B2B

Hexjobs Insights

Role: AI Engineer, responsibilities include LLM optimization, developing solutions, applying AI best practices. Requirements include Python, Azure, experience in machine learning. Benefits include flexible model, training access, health care.

Schlüsselwörter

Python
Java
FastAPI
SQL
Azure
Google Cloud Platform
Kubernetes
Machine Learning
Natural Language Processing
Prompt Engineering

Vorteile

  • Flexible cooperation model (B2B, employment).
  • Hybrid work setup (remote days available).
  • Collaborative team culture.
  • Access to training platforms.
  • Comprehensive benefits (health care, sports card, insurance).
  • High-quality equipment provided.

Technologies we use

About the project

Your responsibilities

  • Design, test, and optimize prompts for Large Language Models (LLMs) to ensure high-quality, reliable outputs for Credit & Lending use cases.
  • Develop and implement sophisticated solutions using Retrieval-Augmented Generation (RAG) and vector databases to extract insights from complex financial data.
  • Participate in the full lifecycle of our solutions, from problem discovery and prototyping to design, implementation, and production deployment.
  • Apply AI best practices to ensure fairness, transparency, and accountability in all models and applications.
  • Collaborate with engineers, product managers, and business experts to align technical efforts with strategic goals.
  • Write and maintain high-quality, testable, and reusable code.Utilize cloud platforms (Azure, GCP) for development, deployment, and scaling of AI models.
  • Co-author solution designs and architecture and maintain products in production.
  • Note: Detailed project information will be shared during the recruitment process.

Our requirements

  • Programming Languages: Python (3+ years), Java (regular)
  • Frameworks: FastAPI, LangChain, Data containers, Spring.
  • Databases: SQL (PostgreSQL), Vector Databases, KV stores (Redis).
  • Knowledge of Microservices architecture, Observability, API design, and Concurrency models.
  • Experience with Azure / GCP, containers, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build).
  • Practical experience in TDD, BDD.
  • Understanding of LLM architectures and their application to domain-specific data.
  • Experience with RAG (Retrieval-Augmented Generation), Prompt Engineering, and Agentic architecture.
  • Knowledge of Machine Learning, Deep Learning, NLP, and experience in building NLP, ML & AI solutions.
  • Strong communication and presentation skills in English.

This is how we organize our work

This is how we work

This is how we work on a project

What we offer

  • Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
  • Hybrid work setup – remote days available depending on the client’s arrangements
  • Collaborative team culture – work alongside experienced professionals eager to share knowledge
  • Continuous development – access to training platforms and growth opportunities
  • Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
  • High quality equipment – laptop and essential software provided

Benefits

Aufrufe: 7
Veröffentlichtvor 6 Tagen
Läuft abin 24 Tagen
Art des VertragsB2B
ArbeitsmodusHybrid

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