Senior Python Software Engineer

🏢 Summary: Remote B2B contract for a 3-month Senior Python Developer project, with possible extension, focused on designing and building GenAI applications and integrations. The role covers Python backend development, APIs, microservices, model-performance experiments, and collaboration with data science and machine learning teams. 🗂️ Requirements: 6+ years of Python development experience, Backend services experience with FastAPI or Flask, Clean code and Python design patterns, Robust unit testing experience, GenAI models used in business applications, Cloud platform familiarity: AWS, GCP, or Azure, Strong problem-solving and analytical skills, Very good English and Polish, Strong communication and documentation skills 📃 Skills: Python, FastAPI, Flask, GenAI, AWS, GCP, Azure, APIs, Microservices, Testing 🏢 Description: B2B contract 160 pln/h + VAT 3-Month Project with Possibility of Extension Remote work This role seeks an experienced Senior Python Developer with a strong background in AI applications. The ideal candidate should possess a deep understanding of Python and its ecosystem, along with a solid experience in backend services and GenAI models integration. A commitment to producing high-quality, maintainable code and a collaborative mindset are essential. Main Responsibilities: As a Senior Python Developer, you will: Design architecture of GenAI applications. Design, develop, and maintain Python code in AI applications and components. Conduct code reviews and identify areas for improvement. Collaborate with data scientists and machine learning engineers to utilize AI models in the applications. Implement and maintain APIs and microservices for AI integration with other systems. Conduct experiments to evaluate GenAI model performance. Remain updated on advancements in GenAI technologies. Contribute to a collaborative and innovative team culture. Key Requirements: At least 6 years of experience in Python development. Experience in building backend services with frameworks like FastAPI or Flask. Knowledge of clean code and design patterns in Python. Experience in writing robust unit tests. Experience in using GenAI models in business applications. Experience with services like: Azure OpenAI, Azure AI Foundry, Azure Functions, AKS Excellent problem-solving and analytical skills. Very good knowledge of English and Polish. Strong communication and documentation skills. Nice to Have: Knowledge of another object-oriented programming language (Java/C#/C++). Knowledge of machine learning algorithms and libraries (scikit-learn, PyTorch).

🏢 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 an international Agile team as a Python Developer building a strategic vehicle-pricing platform. The role focuses on scalable data pipelines, backend services, REST APIs, and integrations that turn large internal and external datasets into reliable pricing insights. 🗂️ Requirements: 3+ years of professional Python backend and data development experience, Strong Python proficiency and Pandas experience, FastAPI or Flask experience, SQL proficiency and PostgreSQL experience, Data-pipeline development and orchestration experience, Git, code review, testing, and CI/CD practice familiarity, Fluent English and Polish communication skills, Availability to work from the Warsaw office 2–3 days per week 📃 Skills: Python, Pandas, FastAPI, Flask, SQL, PostgreSQL, Airflow, Git, CI/CD, REST 🏢 Description: We are looking for a Python Developer to join our international team developing a strategic platform that powers vehicle pricing and recommendation processes across the organization. The solution collects and processes large volumes of internal and external data, transforms it into a unified data model, and delivers pricing insights through modern APIs. As a Python Developer, you will play a key role in building scalable data pipelines, backend services, and integrations while collaborating closely with product owners, architects, and software engineers in an Agile environment. Your tasks Designing, developing, and maintaining data ingestion and transformation pipelines Building and evolving the data model with a strong focus on data quality, consistency and reliability Developing and maintaining Python backend services and REST APIs that expose pricing and vehicle-related data Integrating internal and external systems through APIs and event-driven data flows Writing clean, well-documented and well-tested code while ensuring production stability through monitoring and data quality checks Collaborating closely with Product Owners, Architects, Scrum Masters and Developers to deliver scalable business solutions Requirements At least 3 years of professional experience as a Python Developer with a focus on backend and data development Strong proficiency in Python, including experience with data-processing libraries such as Pandas Experience with frameworks such as FastAPI or Flask Solid SQL skills and hands-on experience with relational databases, particularly PostgreSQL Experience building and orchestrating data pipelines, ideally using Airflow Familiarity with Git, code reviews, testing, and CI/CD practices Fluent English and Polish communication skills, with experience working in an international environment Willingness to work from the Warsaw office 2–3 days per week Nice-to-have requirements Experience with Angular