Senior Python AI Engineer (green building)

🏢 Summary: Opportunity to design and build secure application services and APIs, lead technical design, and resolve complex production issues. The role emphasizes reliability engineering, independent ownership, and cross-team collaboration using Python, web frameworks, cloud infrastructure, and DevOps tooling. 🗂️ Requirements: Strong Python and object-oriented programming skills, Hands-on Django or FastAPI experience, Hands-on TypeScript framework experience, RESTful API design expertise, CI/CD and DevOps tooling experience, GCP, Kubernetes, Terraform, and Helm experience, Relational database experience, Spoken English proficiency 📃 Skills: Python, Django, FastAPI, TypeScript, Angular, NestJS, REST, Jenkins, GitHub, GitLab, GCP, Kubernetes, Terraform, Helm, PostgreSQL 🏢 Description: 10+ Years of Experience is required Roles and RESPONSIBILITIES Design and build secure application services and APIs. Drive technical design discussions and translate requirements into robust solutions. Troubleshoot complex production issues and lead root-cause analysis. Improve service reliability and resilience through proactive engineering practices. Work independently with strong ownership while collaborating across teams. SKILLS & EXPERIENCE REQUIRED Strong Python skills (Python 3.11+ preferred) and solid object-oriented programming fundamentals. Hands-on experience with Django/FastAPI and TypeScript frameworks (Angular/NestJS). Excellent spoken English communication skills for day-to-day collaboration with teammates. Strong understanding of RESTful API design best practices. Familiarity with CI/CD and DevOps tooling (Jenkins, GitHub Actions, GitLab CI). Experience with GCP, Kubernetes, Terraform, and Helm. Experience with relational databases, preferably PostgreSQL. PUBLIC Strong analytical mindset, learning agility, and a problem-solving approach. Nice to have: Basic understanding of open-source software licenses (e.g., Apache-2.0, MIT, GPL) and their practical implications in software delivery. Familiarity with modern Python tooling (uv, Ruff, Rye) and Git workflows. Familiarity with Go and Java. Familiarity with identity protocols and standards: SAML, OAuth2, OpenID Connect. Proficiency with AI-assisted engineering tools such as Claude Code and Codex. Familiarity with OpenTelemetry and OpenAPI. Visible technical engagement (blogging, GitHub portfolio, open-source contributions).

🏢 Summary: Senior Python Engineer role focused on designing, deploying, and operating production-scale AI and ML solutions. The position covers LLMs, RAG systems, data pipelines, cloud-native AI services, and MLOps across major cloud platforms. 🗂️ Requirements: Python proficiency, NumPy, Pandas, PyTorch, TensorFlow, and Transformers, Hands-on LLM experience, Machine learning, NLP, deep learning, and vector embeddings, Azure, AWS, or GCP experience, Serverless computing experience, MLOps tooling experience, Vector database experience, Docker and Kubernetes knowledge 📃 Skills: Python, NumPy, Pandas, PyTorch, TensorFlow, Transformers, OpenAI, AzureOpenAI, Anthropic, Llama, Azure, AWS, GCP, MLflow, Kubeflow, AzureML, SageMaker, Databricks, Pinecone, Chroma, FAISS, Docker, Kubernetes, REST, RAG, NLP, MLOps 🏢 Description: Position overview We are seeking a skilled Senior Python Engineer to design, develop, and deploy AI and ML driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal candidate has a strong foundation in machine learning, large language models (LLMs), data engineering, and cloud platforms, with the ability to productionize models at scale. Responsibilities Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines. Develop scalable AI services and microservices using Python, REST APIs, and cloud native technologies. Optimize models for performance, accuracy, and cost efficiency. Work with structured and unstructured datasets for feature engineering, vectorization, and model training. Build data pipelines for training, validation, and inference. Collaborate with data engineering teams on data ingestion, storage, and governance. Implement CI/CD pipelines for machine learning models and MLOps workflows. Monitor model performance and drift, and implement retraining strategies. Manage model lifecycle processes, logging, and observability. Integrate AI systems with enterprise applications, APIs, and cloud platforms such as Azure, AWS, and GCP. Build Retrieval Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search. Ensure solutions align with enterprise security, compliance, and responsible AI standards. Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions. Communicate AI capabilities and limitations to non technical stakeholders. Conduct proofs of concept (POCs), demonstrations, and conceptual solution design activities. Requirements Strong proficiency in Python, including NumPy, Pandas, PyTorch, TensorFlow, and Transformers. Hands on experience with LLMs, including OpenAI, Azure OpenAI, Anthropic, and Llama models. Experience with machine learning algorithms, natural language processing (NLP), deep learning, and vector embeddings. Experience with cloud platforms such as Azure, AWS, and GCP, including serverless computing services. Familiarity with MLOps tools such as MLflow, Kubeflow, Azure Machine Learning, Amazon SageMaker, or Databricks. Experience working with vector databases, including Pinecone, Chroma, FAISS, and Azure AI Search. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)

🏢 Summary: Join a remote B2B team as a Python Engineer building and deploying AI-driven LLM and NLP solutions. The role combines hands-on development of RAG, vector-search, and AI-agent workflows with client collaboration, technical decision-making, and product impact. 🗂️ Requirements: 5+ years of experience in software engineering, AI, ML, or a related field, Production experience with LLMs or NLP, Experience with RAG, vector search, or agent-based LLM architectures, Strong Python skills, Experience deploying models or pipelines with FastAPI, Strong communication skills, Polish at B2+ level, English at B2+ level 📃 Skills: Python, LLMs, NLP, RAG, FastAPI, NumPy, Pandas, Scikit-learn, Vector-search, Agents 🏢 Description: The role We're looking for an experienced Python Engineer to join our team and help build cutting-edge solutions using LLM technologies. If you enjoy having real impact on product direction, making key technical decisions, and working directly with clients- this role is for you. What you’ll do Work on the development and deployment of AI-driven features, ensuring timely delivery and continuous iteration Participate in client meetings to discuss progress, architecture, and system capabilities Build and improve LLM/NLP-based data extraction and analysis models Develop and orchestrate AI agents capable of handling multi-step, tool-augmented workflows Optimize system performance for real-time and large-scale applications Ensure statistical accuracy in lifecycle tracking and model evaluation Collaborate closely with product managers, engineers, and other stakeholders What we’re looking for 5+ years of experience in SE/AI/ML or a related field Hands-on experience with LLMs or NLP in production environments Experience with RAG, vector search, or agent-based LLM architectures Solid Python skills (NumPy, Pandas, Scikit-learn, etc.) Experience deploying models or pipelines using FastAPI Strong communication skills – your input will help shape the roadmap Comfortable working in a bilingual environment (Polish B2+, English B2+) Bonus points: Experience with Computer Vision What we offer 26 000 - 33 000 PLN net + VAT monthly, B2B 100% remote setup and flexible hours Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️ Referral bonuses Equipment of your choice (MacBook by default) Interesting, challenging projects - we only take on the ones we believe in :-)

🏢 Summary: Senior Python/GenAI engineering role focused on architecting, building, and maintaining AI applications, APIs, and microservices. The position involves integrating GenAI models, evaluating their performance, reviewing code, and collaborating across the full project lifecycle in a hybrid work setup. 🗂️ Requirements: 6+ years of Python development experience, Fluency in the Python development ecosystem, Python backend-service development with FastAPI or Flask, SQL and NoSQL database experience, Clean-code and Python design-pattern knowledge, Robust unit-testing experience, GenAI model integration in business applications, Cloud-platform and cloud-native technology familiarity, Continuous Deployment lifecycle familiarity, English proficiency at C1 level, Polish proficiency at C1 level 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, AWS, GCP, Azure, Microservices, APIs, Testing, Docker, Kubernetes, ContinuousDeployment 🏢 Description: 🚀 You will be responsible for: Design architecture of GenAI applications, Design, develop, and maintain Python code in AI applications and components, Code review and identification of areas of improvments, Collaborate with data scientists and machine learning engineers to utilize AI models in the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations to measure the performance of GenAI models, Stay up-to-date with the latest advancements in GenAI technologies, Contribute to a collaborative and innovative team culture. Additional advantages, but not required directly for the position: Knowledge of another object-oriented programming language (Java/C#/C++) Knowledge of Machine Learning algorithms and libraries (scikit-learn, PyTorch) 👉 What you will need: At least 6 years of experience and fluency in Python development ecosystem, Experience in building back-end services in Python with frameworks like FastAPI (or Flask ), SQL and NoSQL databases , Knowledge of clean code and design patterns in Python , strong attitude to build well structured, high quality solutions, Experience in writing robust unit tests for developed applications, Experience in using GenAI models in building business applications, Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies, Familiarity with Continuous Deployment lifecycle, Excellent problem-solving and analytical skills, Ability to work independently and as part of a team, Very good knowledge of English (C1) and Polish (C1) Strong communication and documentation skills 👉 What we offer: Learning & development opportunities – after your probation period, you’ll have access to a highly flexible and generous English language reimbursement program, along with an individual development budget to use as you see fit. Classic benefits like private medical care, a sports card, and a preferential life insurance plan. Plus, our infamous Fruit Tuesdays and a special summer bonus – ice cream. A hybrid work setup with plenty of flexibility. Delivery teams work mostly remotely. Support teams come to the office at least once a week – as an HR team, we meet every Wednesday. On other days, you decide where you work. A bunch of non-work activities , including Office Day (a fun-filled day when employees from all over Poland gather at the office), POP UP integrations,  various competitions from cooking to photography, and the chance to submit charity causes to our CF4GOOD program, which provides support to those in need. A workplace that values people and is built on collaboration, not competition. If you’re tired of toxic work environments, you’ll finally get a chance to breathe. And if you’ve been lucky with great employers so far, we’ll do our best to keep that streak going.

🏢 Summary: Oferta dotyczy roli Python Backend / Data Engineera odpowiedzialnego za rozwój skalowalnej platformy danych, pipeline’ów oraz usług backendowych i REST API. Stanowisko obejmuje integracje z systemami i zewnętrznymi źródłami danych, dbanie o ich jakość oraz współpracę przy budowie architektury mikroserwisowej. 🗂️ Requirements: Minimum 5 lat doświadczenia jako Python Developer, Bardzo dobra znajomość Python, Doświadczenie z bibliotekami do przetwarzania danych, Doświadczenie w tworzeniu REST API, Bardzo dobra znajomość SQL, Praktyczne doświadczenie z PostgreSQL lub Oracle, Doświadczenie w projektowaniu i utrzymaniu pipeline’ów danych, Znajomość Git, code review, testów automatycznych i CI/CD, Umiejętność projektowania integracji między systemami i pracy z API, Komunikatywna znajomość języka angielskiego 📃 Skills: Python, Pandas, REST, FastAPI, Flask, SQL, PostgreSQL, Oracle, Git, CICD, API 🏢 Description: Do naszego zespołu poszukujemy doświadczonego Python Backend / Data Engineera, który będzie odpowiedzialny za rozwój platformy danych oraz usług backendowych wspierających procesy związane z danymi biznesowymi i rynkowymi. Jeśli lubisz pracować z danymi, budować skalowalne rozwiązania oraz rozwijać nowoczesne API, ta rola jest dla Ciebie. Zakres obowiązków Projektowanie, budowa i utrzymanie pipeline'ów danych odpowiedzialnych za pobieranie, przetwarzanie i transformację danych z systemów wewnętrznych oraz zewnętrznych źródeł rynkowych (Apache Airflow). Tworzenie i rozwój modelu danych z naciskiem na jakość, spójność oraz śledzenie pochodzenia danych. Rozwój i utrzymanie aplikacji backendowych oraz REST API w Pythonie udostępniających dane i logikę biznesową dla systemów wewnętrznych. Integracja z systemami źródłowymi i zewnętrznymi API oraz implementacja rozwiązań opartych o komunikację zdarzeniową. Dbanie o jakość kodu poprzez testy, dokumentację, monitoring oraz kontrolę jakości danych. Współpraca z zespołami produktowymi, architektami, Scrum Masterami oraz programistami przy przekładaniu wymagań biznesowych na stabilne i skalowalne rozwiązania. Dla osób zainteresowanych rozwojem Full Stack – możliwość współtworzenia warstwy frontendowej w Angularze. Wymagania Minimum 5 lat doświadczenia zawodowego jako Python Developer, Bardzo dobra znajomość języka Python. Doświadczenie w pracy z bibliotekami do przetwarzania danych (np. Pandas). Doświadczenie w tworzeniu REST API (FastAPI, Flask lub podobne frameworki). Bardzo dobra znajomość SQL oraz praktyczne doświadczenie z bazami danych PostgreSQL i/lub Oracle. Doświadczenie w projektowaniu i utrzymaniu pipeline'ów danych, mile widziana znajomość Apache Airflow. Znajomość Git, code review, testów automatycznych oraz praktyk CI/CD. Umiejętność projektowania integracji pomiędzy systemami i pracy z API. Komunikatywna znajomość języka angielskiego umożliwiająca pracę w międzynarodowym środowisku. Mile widziane Doświadczenie frontendowe w Angularze. Znajomość rozwiązań chmurowych oraz technologii konteneryzacji (Docker, Kubernetes) . Doświadczenie z platformami event streaming (np. Kafka). Znajomość narzędzi do monitorowania jakości danych i obserwowalności systemów. Podstawowa znajomość procesów Machine Learning oraz współpracy z zespołami Data Science. Doświadczenie w branży motoryzacyjnej, leasingowej, pricingowej lub remarketingowej. Oferujemy Pracę przy rozwoju nowoczesnej platformy danych i systemów backendowych. Udział w projektach wykorzystujących nowoczesne technologie oraz architekturę opartą o mikroserwisy. Współpracę z międzynarodowym zespołem ekspertów. Możliwość rozwoju kompetencji w obszarze Data Engineering, Backend Development oraz Cloud. Elastyczne środowisko pracy oraz realny wpływ na rozwój tworzonych rozwiązań.

🏢 Summary: Senior Python Developer role for designing secure services and APIs, leading technical design, and resolving complex production issues. The position focuses on improving reliability and resilience while collaborating across teams with strong ownership. 🗂️ Requirements: 10+ years of Python development experience, Strong Python and object-oriented programming skills, Hands-on Django or FastAPI experience, Hands-on Angular or NestJS experience, Strong RESTful API design knowledge, CI/CD and DevOps tooling experience, GCP, Kubernetes, Terraform, and Helm experience, Relational database experience, preferably PostgreSQL, Excellent spoken English communication skills 📃 Skills: Python, Django, FastAPI, TypeScript, Angular, NestJS, REST, Jenkins, GitHub, GitLab, GCP, Kubernetes, Terraform, Helm, PostgreSQL, CI/CD, DevOps, Git, OAuth2, SAML, OpenID, OpenTelemetry, OpenAPI, Claude, Codex, Go, Java, Ruff, Rye, uv 🏢 Description: Python Developer 10+ years Roles and RESPONSIBILITIES • Design and build secure application services and APIs. • Drive technical design discussions and translate requirements into robust solutions. • Troubleshoot complex production issues and lead root-cause analysis. • Improve service reliability and resilience through proactive engineering practices. • Work independently with strong ownership while collaborating across teams. SKILLS & EXPERIENCE REQUIRED • Strong Python skills (Python 3.11+ preferred) and solid object-oriented programming fundamentals. • Hands-on experience with Django/FastAPI and TypeScript frameworks (Angular/NestJS). • Excellent spoken English communication skills for day-to-day collaboration with teammates. • Strong understanding of RESTful API design best practices. • Familiarity with CI/CD and DevOps tooling (Jenkins, GitHub Actions, GitLab CI). • Experience with GCP, Kubernetes, Terraform, and Helm. • Experience with relational databases, preferably PostgreSQL. PUBLIC • Strong analytical mindset, learning agility, and a problem-solving approach. Basic understanding of open-source software licenses (e.g., Apache-2.0, MIT, GPL) and their practical implications in software delivery. • Familiarity with modern Python tooling (uv, Ruff, Rye) and Git workflows. • Familiarity with Go and Java. • Familiarity with identity protocols and standards: SAML, OAuth2, OpenID Connect. • Proficiency with AI-assisted engineering tools such as Claude Code and Codex. • Familiarity with OpenTelemetry and OpenAPI. • Visible technical engagement (blogging, GitHub portfolio, open-source contributions).