AI Engineer

AI Engineer (Praca zdalna)

STX Next

Poznań
B2B
💼 B2B
🤖 AI Engineer
RAG
LLM
🐍 Python
☁️ AWS
GCP
☁️ Azure
HuggingFace
🐳 Docker
🧠 MLOps
API
pipeline
🌐 remote work

Podsumowanie

AI Engineer (B2B, remote) – projektowanie i wdrażanie systemów RAG, LLM oraz API i pipeline; praca z Python, AWS/GCP/Azure, HuggingFace, Docker. Wymagany min. jeden komercyjny projekt AI/ML, znajomość LLM i RAG. Oferuje elastyczne godziny, prywatną opiekę medyczną, kartę Multisport, wsparcie liderów, rozwój, wydarzenia i workation.

Słowa kluczowe

AI EngineerRAGLLMPythonAWSGCPAzureHuggingFaceDockerMLOpsAPIpipelineremote work

Benefity

  • Elastyczne godziny pracy i ograniczona praca zdalna dopasowana do potrzeb zespołu
  • Refundacja prywatnej opieki medycznej (Medicover) oraz karta Multisport
  • Wsparcie liderów i możliwość rozwoju kompetencji
  • Regularne przeglądy rozwoju i planowanie ścieżki kariery
  • Udział w wewnętrznych webinarach, konferencjach i spotkaniach zespołowych
  • Workation – wyjazdy integracyjne zespołu

Opis stanowiska

Hi there! We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.Are you the NEXT one? Type of contractA B2B contract for your flexibility and competitive compensation packageLocationA remote work model encouraging work-life balance.Job descriptionSTX Next is a software house working hands-on with the latest AI technologies. We build solutions based on LLMs, RAG systems and AI automation, integrating them into our clients’ environments in a thoughtful, stable, and production-ready way. We are looking for an AI Engineer who feels confident working end-to-end: designing architecture, implementing solutions, and bringing them all the way to deployment. You’ll join an experienced engineering team that supports each other while maintaining a high level of autonomy and ownership.Responsibilities Building and deploying RAG systems (various domains: e-commerce, finance, operations). Working with LLMs: finetuning, prompt engineering, architecture design, integrations. Creating and expanding APIs, pipelines, automations, and surrounding AI processes. Using n8n for automations where it makes sense. Designing solutions end-to-end: from presales (together with the team), through architecture, to deployment. Participating in projects involving vision, classical ML, or predictive maintenance when required. 10–20% research — depending on the project. Delivery comes first. Requirements Production-level Python (PEP8, clean architecture, maintainable code). At least one commercially deployed AI/ML project (no course projects). Strong knowledge of: - LLMs- RAG- HuggingFace / PyTorch (or TensorFlow) Ability to build end-to-end applications: API, pipeline, monitoring, validation. Basic MLOps knowledge (Docker, logging, basic automation, clean environments). Proficiency in at least one cloud (AWS/GCP/Azure) and willingness to learn others when needed. Ability to communicate with clients at a normal, technical, no-nonsense level.Nice to have: Experience with vision computing or classical ML. Knowledge of vector DBs (Weaviate, Qdrant, Pinecone). MLflow / Airflow / DVC / wandb. Any level of CI/CD experience.This role is for you if: You can solve problems independently. You don't need a full specification to move forward. You read documentation and follow good practices. You enjoy projects that end with deployment, not “experiments”. You prioritize solid engineering over hype. BenefitsWork-life BalanceWe are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides.Reimbursed private medical care (Medicover) and MultisportWe care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives.Leader’s supportWork with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday.Technology focusPython and JavaScript are not our only strengths, we are also very good at React Native, IoT, Machine Learning, .Net, DevOps and Blockchain.Growth reviewJunior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months.EventsAttend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker!WorkationTeam trips where you have a chance as a team not only to work together, but also integrate f2f.

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Wyświetlenia: 37
Opublikowanaokoło miesiąc temu
Wygasaza około 2 miesiące
Rodzaj umowyB2B
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