AI Engineer

1550 - 1700 PLN/ dzień./ dzień.B2BB2B (netto)

MidHybryda·KrakówFull-time·B2B

#473221·Dodano wczoraj·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python Java FastAPI LangChain Spring SQL PostgreSQL Redis Azure GCP Kubernetes CI/CD JenkinsAzure DevOpsCloudAIML LLMsRAGNLP Deep learning Microservices architectureAPITDDBDD

Podsumowanie oferty

Design and improve AI solutions for Credit & Lending applications, transforming complex financial data into actionable insights. Work with LLMs, RAG, and vector databases, taking solutions from discovery and prototyping through production deployment.

Wymagania

Languages & Frameworks:

Python experience (3+ years) and regular experience with Java.
Experience with FastAPI, LangChain, data containers, and Spring.

Databases & Infrastructure:

Experience with SQL databases, including PostgreSQL, vector databases, and Redis.
Experience with Azure or GCP, Kubernetes, and CI/CD tools including Jenkins, Azure DevOps, and GCP Cloud Build.
Experience with containers and cloud-native architectures.

AI & ML Expertise:

Knowledge of LLMs and their use with domain-specific data.
Experience with RAG, prompt engineering, and agentic AI architectures.
ML, NLP, and deep learning experience, including experimentation and model development.

Engineering Practices:

Knowledge of microservices architecture and observability concepts.
Strong understanding of API design and concurrency models.
Practical experience with TDD and BDD methodologies.

Soft Skills:

Excellent communication and presentation skills in English.
Ability to convey technical details to diverse business and technical audiences.

Obowiązki

Design, test, and optimize prompts for LLMs to support Credit & Lending applications.
Develop and implement RAG-based AI solutions using vector databases.
Participate in all stages of the solution lifecycle, from ideation to deployment.
Apply AI best practices to ensure fairness, transparency, and accountability.
Collaborate with engineers, product managers, and business experts to align goals.
Write clean, testable, and reusable code.
Use cloud platforms (Azure, GCP) for model development, deployment, and scaling.
Co-author architecture and solution designs, and support live production systems.

Benefity

Access to training platforms and growth opportunities.
Interpolska health care.
Multisport card.
Warta insurance.
Laptop and essential software provided.

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

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