Backend Engineer (Python, AI)

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SeniorHybryda·WarszawaFull-time

#465420·Dodano wczoraj·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python REST API LLMAIAWS FastAPICommunication skillsData pipelinesML SnowflakeCloudSAPODataDockerCI/CD PipelinesAPI

Podsumowanie oferty

Develop and evolve a Python backend for an enterprise application using Generative AI and LLMs. Build scalable solutions that support AI-powered business-process automation.

Wymagania

Strong experience in backend development using Python.
Hands-on experience with modern Python frameworks, preferably FastAPI.
Proven expertise in designing, developing, and maintaining REST APIs.
Practical experience integrating AI-powered services, LLM APIs, or Generative AI solutions into applications.
Experience building solutions in AWS and cloud-based environments.
Excellent communication skills in English.

Nice to have:

Experience building data pipelines or working with data-intensive applications.
Exposure to AI/ML platforms, model-serving solutions, or inference endpoint integrations.
Experience with Snowflake or similar cloud data platforms.
Knowledge of enterprise integration technologies, including SAP interfaces, OData, IDoc, RFC, or BAPI.
Experience with Docker and containerized application deployment, and familiarity with CI/CD pipelines and automated deployment practices.
Understanding of secure API design, authentication, and authorization mechanisms.

Obowiązki

Design, develop, and maintain backend services and APIs using Python.
Build and enhance RESTful APIs for frontend applications and system integrations.
Implement business logic with a focus on scalability, reliability, and maintainability.
Collaborate with Cloud Engineers on deployment architecture, environment configuration, and CI/CD processes.
Work with Frontend Developers to define API contracts and integration patterns.
Develop and optimize backend solutions for AI-driven and data-intensive workflows.
Integrate Generative AI capabilities, LLM APIs, and AI services into enterprise applications.
Contribute to technical architecture decisions and backend design improvements.
Ensure security, observability, performance, and operational excellence.
Participate in testing, troubleshooting, optimization, and continuous improvement initiatives.

Benefity

Hybrid work model with a home office package that includes a laptop, monitor, and chair.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to Education First language platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
Private medical care with Medicover; additional packages are available on preferential terms.
Life insurance.
Access to over 40 options on the NAIS benefit platform, including Netflix, Spotify, and a sports card.
Training budget.
In-house trainings.
International projects.
Free coffee.
Bike parking and free parking.
Mobile phone.

Dofinansowanie szkoleń

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Parking dla rowerów

Parking dla aut

Telefon

Szkolenia wewnętrzne

Napoje w biurze

Capgemini

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