Senior Python Engineer – Vector Search / Retrieval Infrastructure

🏢 Summary: Senior Python Developer role in a fast-paced, startup-style environment, owning the design and delivery of high-load, data-intensive systems. The position partners directly with clients, leads complex features from architecture through automated deployment, and helps maintain high engineering standards. 🗂️ Requirements: 5+ years of commercial software development experience, Strong professional Python experience, Expertise in Python 3.11+, Production experience with modern Python frameworks, API design experience, Database and data-driven systems knowledge, Advanced OOP, SOLID, YAGNI and TDD knowledge, Unit testing, CI/CD, Docker and deployment experience, Ability to build low-latency, scalable systems, Very good written and spoken English, Ability to work under tight deadlines and evolving requirements 📃 Skills: Python, FastAPI, Falcon, SQLAlchemy, REST, GraphQL, pytest, Docker, CICD, OOP, SOLID, YAGNI, TDD 🏢 Description: Startup Environment, High Ownership, Demanding Clients Join our startup-like environment filled with new ideas, rapid change, and a strong focus on priorities and delivery. We are looking for a Senior Python Developer - someone experienced, open-minded, and ready to take real ownership of both product and technical direction. You will work closely with demanding clients , solve complex engineering problems, and help shape ambitious, high-performance systems. This role is for engineers who enjoy responsibility, fast feedback loops, architectural challenges, and working under pressure . Your primary responsibilities beyond the will to change the world: Act as a technical partner for clients : analyze business needs, challenge requirements, and propose effective, scalable solutions Take full ownership of complex features - from concept and architecture through implementation, testing, and automated deployment Design system architecture, APIs, and data models for high-load, data-intensive systems Deliver core and business-critical components of projects Work in a dynamic, startup-style environment with changing priorities, tight deadlines, and real product pressure Proactively identify risks, bottlenecks, and technical debt , and drive improvements Ensure high code quality, performance, and reliability Support and mentor other developers, helping raise engineering standards across teams Must have: 5+ years of commercial software development experience, including strong professional experience in Python Excellent knowledge of Python 3.11+ (typing, dataclasses, modern best practices) Production experience with modern Python frameworks ( async FastAPI preferred, Falcon welcome, Async SQLAlchemy 2.0 ) Strong expertise in API design (REST, GraphQL) Solid understanding of databases and data-driven systems (relational, document, search, key-value stores) Advanced knowledge of software engineering principles (OOP, SOLID, YAGNI, TDD) Extensive experience with unit testing (pytest), CI/CD pipelines, Docker, and deployments Proven ability to build efficient, low-latency, scalable systems Confidence working with tight deadlines, pressure, and frequently evolving requirements Very good written and spoken English Strong communication skills and a proactive, ownership-oriented mindset Experience we'd appreciate, too: Experience in system architecture and technical leadership Asynchronous programming and high-concurrency systems Messaging systems and distributed architectures DDD and event-driven design Cloud and DevOps experience ( AWS / Azure ) Mentoring and influencing technical direction of projects Nice to have: Community involvement (meetups, open source, speaking) Writing technical articles or internal knowledge-sharing A list of benefits is long so we will mention only about the crucial ones: Challenging projects with real business impact Work in a startup-like environment : fast decisions, autonomy, responsibility 100% remote or office in Poland (Wrocław / Zielona Góra) Sport subscription Private healthcare

🏢 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 Full Stack Security Engineer role focused on building secure, resilient cloud-native services and APIs while advancing DevSecOps practices. The Krakow-based hybrid position offers up to three remote days per week and involves technical design, production troubleshooting, and reliability engineering across cloud infrastructure. 🗂️ Requirements: 5+ years of software engineering, security, or related experience, Python 3.11+ proficiency, Object-oriented programming fundamentals, Django or FastAPI experience, Angular or NestJS experience, RESTful API design knowledge, CI/CD and DevOps tooling experience, GCP experience, Kubernetes experience, Terraform experience, Helm experience, PostgreSQL and relational database knowledge, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Django, FastAPI, TypeScript, Angular, NestJS, REST, Jenkins, GitHub, GitLab, GCP, Kubernetes, Terraform, Helm, PostgreSQL, CI/CD, DevOps, OOP 🏢 Description: Ignite secure innovation — lead the charge for resilient, scalable cloud-native platforms! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior Python Full Stack Security Engineer , you will be working for our client, a forward-thinking technology company dedicated to building secure, high-performance platforms. You will play a critical role in designing and implementing security-focused services, driving DevSecOps practices, and enhancing engineering resilience across cloud-native infrastructures. This is an exciting chance to make a tangible impact on digital security and innovation. Your main responsibilities: Design and develop secure application services and APIs, ensuring robust security standards. Lead technical design discussions and translate complex requirements into reliable solutions. Troubleshoot and resolve intricate production issues, conducting thorough root-cause analyses. Improve service reliability and resilience through proactive engineering practices. Collaborate independently with a strong sense of ownership and cross-team teamwork. Engage with cloud technologies and DevSecOps tools to streamline secure software delivery. You’re ideal for this role if you have: A minimum of 5 years of experience in software engineering, security, or related fields. Strong proficiency in Python 3.11+ and solid object-oriented programming fundamentals. Hands-on experience with Django/FastAPI, TypeScript frameworks (Angular/NestJS). Excellent spoken and written English communication skills. Deep understanding of RESTful API design best practices. Familiarity with CI/CD pipelines and DevOps tooling (Jenkins, GitHub Actions, GitLab CI). Experience with GCP, Kubernetes, Terraform, and Helm. Knowledge of relational databases, especially PostgreSQL. Analytical mindset with strong problem-solving skills and learning agility. It is a strong plus if you have: Basic understanding of open-source licenses (e.g., Apache-2.0, MIT, GPL). Familiarity with modern Python tooling (uv, Ruff, Rye), Git workflows. Knowledge of Go and Java. Understanding of identity protocols and standards: SAML, OAuth2, OpenID Connect. Experience with AI-assisted engineering tools like Claude Code and Codex. Familiarity with OpenTelemetry and OpenAPI. Active technical engagement such as blogging, GitHub portfolio, or open-source contributions. Language Required for the role: Fluent English communication skills. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.