2x Python Entwickler mit AI Erfahrung

🏢 Summary: Senior Python Engineer role focused on owning backend architecture, leading technical decisions, and delivering scalable high-load systems with AI-powered features such as chatbots and voice-to-text integrations. The position combines hands-on backend development with team leadership, emphasizing architecture, scalability, and production reliability. You will drive backend strategy, mentor engineers, and ensure robust AI/LLM integrations aligned with product goals. 🗂️ Requirements: 5+ years of software development experience, Strong hands-on experience with Python 3 and asynchronous programming, Experience with FastAPI or Django DRF, Experience designing microservices or modular architectures, Strong knowledge of PostgreSQL, Experience with Redis or MongoDB, Experience with vector databases, Experience with pytest and TDD/BDD principles, Experience with Docker and CI/CD pipelines, Experience with Kubernetes, Experience with AWS or GCP or Azure, Knowledge of clean code and SOLID principles, Experience with typing and type checking, Experience with scalability and production monitoring, Experience building GenAI or LLM-powered products 📃 Skills: Python, FastAPI, Django, PostgreSQL, Redis, MongoDB, Qdrant, pytest, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, mypy, Pydantic, LangChain, LlamaIndex, LLaMA, Mistral, Mixtral 🏢 Description: We are looking for Senior Python Engineer to take ownership of backend architecture, technical leadership, code quality, and team development. You will work on complex backend systems, design scalable architectures, and lead a talented engineering team, collaborating closely with business stakeholders to translate requirements into robust technical solutions. You will play a key role in shaping the product roadmap, making strategic architecture decisions, and ensuring that delivery aligns with business goals. A key component of the initiative is the development of internal AI-powered capabilities, including a generic chatbot and voice-to-text features. You will provide technical leadership for AI integrations, ensuring scalable, maintainable, and performant systems. Basic German is a plus, but your expertise in strategy, technical leadership, and hands-on delivery is what matters most. Why Join Us: Lead a high-impact project with real public-sector relevance Take ownership of architecture and system design end-to-end Influence the product roadmap and technical direction Work with a talented, collaborative engineering team Contribute to AI-driven, innovative features with large-scale impact Responsibilities: Own backend architecture and technical decisions for scalable, high-load systems Lead the team in designing, implementing, and maintaining backend services and APIs Guide technical design reviews, code quality, and engineering best practices Balance hands-on development (~40–60%) with leadership and mentoring (~40–60%) Oversee scalability, performance optimization, and reliability of production systems Lead incident response, bug fixing, and production issue resolution Provide technical guidance for AI/LLM-powered features, such as chatbots and voice-to-text integration Collaborate closely with Product, Frontend, and AI/ML teams to translate requirements into technical solutions Drive adoption of observability, monitoring, and testing standards across the team Mentor and support engineers to foster team growth and knowledge sharing Must-Have Skills: 5+ years experience in Software Development Strong product mindset with experience in team organization, task prioritization, and project planning Ability to make and own technical and architectural decisions Strong problem-solving and proactive approach Excellent communication and interpersonal skills for cross-team collaboration Strong analytical and organizational abilities; able to manage dependencies, risks, and cross-team planning Hands-on experience with Python 3, including asynchronous programming Experience with backend frameworks (FastAPI, Django DRF) Experience designing and developing microservices or modular architectures Strong knowledge of relational (PostgreSQL) and NoSQL (Redis, MongoDB) databases Experience with vector storage (e.g., Qdrant) Understanding of testing strategies (pytest, TDD/BDD principles) Familiarity with Docker, CI/CD pipelines, and production deployments Strong experience with Kubernetes and cloud platforms (AWS, GCP, Azure) Knowledge of clean code principles, SOLID, typing (mypy, Pydantic) Experience with scalability, production monitoring, and incident management Experience building GenAI or LLM-powered products Nice-to-Have Skills: Experience with public-sector or government digital transformation projects Familiarity with LangChain, LlamaIndex, or similar tooling Experience with open-source LLMs (LLaMA, Mistral, Mixtral) Experience in high-growth startup environments Knowledge of cost optimization for AI inference and infrastructure Basic German language skills for team onboarding and future customer projects

🏢 Summary: Development of AI-driven intelligent assistants for the financial industry using cutting-edge LLMs and agent frameworks, with a focus on building, validating, and deploying scalable Python-based solutions. The role involves designing data pipelines, recommending technical architectures, and applying advanced ML/AI techniques in an international environment. 🗂️ Requirements: Proficiency in Python, Experience with LLM frameworks, Experience with transformer-based models, Experience working with large datasets, Strong knowledge of ML/AI concepts and model lifecycle, Experience in data engineering and pipeline automation, Ability to design AI architectures, Fluent English (C1) 📃 Skills: Python, LLMs, Langchain, GPT-4, Falcon, LLAMA, Mixtral, RAG, Langraph, CrewAI, Pandas, NumPy, SQL, MachineLearning, DataEngineering, Transformers, AWS, Azure, GCP 🏢 Description: At Pretius we are looking for Python Developer with AI to a project in the financial industry, international team. Project / Role Build and validate intelligent assistants with cutting-edge LLMs (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral) using techniques like RAG and agent frameworks (e.g., Langraph, CrewAI) Recommend technical approaches and architectures for business challenges Implement efficient Python-based data pipelines for AI model training and deployment Communicate insights to both technical and non-technical audiences Contribute to project documentation Requirements Proficiency in Python and LLM frameworks (e.g., Langchain) Experience with transformer-based models and large datasets (e.g. Pandas, NumPy, SQL) Strong knowledge of ML/AI concepts: types of algorithms, machine learning frameworks,model efficiency metrics, model life-cycle, AI architectures Experience with data engineering, including preprocessing, transformation, and pipeline automation Fluent in English (C1) Nice to have: Familiarity with cloud-based ML services (AWS, Azure, GCP) What we offer? We focus on long-term relationships based on fair principles and reliability Co-financing of the Multisport card and Medicover private healthcare Modern office available Team bonding activities, internal courses, conferences, certifications

🏢 Summary: The role involves developing and validating AI-powered intelligent assistants using advanced LLMs within a financial industry project for an international team. The position focuses on designing AI architectures, building Python-based data pipelines, and applying ML/AI best practices to deliver scalable solutions. The candidate will also support technical decision-making and contribute to documentation. 🗂️ Requirements: Proficiency in Python, Experience with LLM frameworks, Experience with transformer-based models, Experience working with large datasets, Strong knowledge of ML/AI concepts and model lifecycle, Experience in data engineering and pipeline automation, Ability to design AI architectures, Fluent English (C1) 📃 Skills: Python, LLMs, Langchain, Transformers, Pandas, NumPy, SQL, RAG, Langraph, CrewAI, GPT-4, Falcon, LLAMA, Mixtral, AWS, Azure, GCP 🏢 Description: At Pretius we are looking for Python Developer with AI to a project in the financial industry, international team. Project / Role Build and validate intelligent assistants with cutting-edge LLMs (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral) using techniques like RAG and agent frameworks (e.g., Langraph, CrewAI) Recommend technical approaches and architectures for business challenges Implement efficient Python-based data pipelines for AI model training and deployment Communicate insights to both technical and non-technical audiences Contribute to project documentation Requirements Proficiency in Python and LLM frameworks (e.g., Langchain) Experience with transformer-based models and large datasets (e.g. Pandas, NumPy, SQL) Strong knowledge of ML/AI concepts: types of algorithms, machine learning frameworks,model efficiency metrics, model life-cycle, AI architectures Experience with data engineering, including preprocessing, transformation, and pipeline automation Fluent in English (C1) Nice to have: Familiarity with cloud-based ML services (AWS, Azure, GCP) What we offer? We focus on long-term relationships based on fair principles and reliability Co-financing of the Multisport card and Medicover private healthcare Modern office available Team bonding activities, internal courses, conferences, certifications

🏢 Summary: The role involves developing and maintaining backend components in Python while supporting the implementation of AI-driven features within products. The position focuses on integrating AI/ML components, working with data, and contributing to simple model development and backend services. It is suited for candidates with commercial Python experience and initial hands-on exposure to AI/ML technologies. 🗂️ Requirements: Minimum 2 years of commercial experience with Python, Hands-on experience with AI/ML features, Experience working with APIs, Experience developing backend services, Understanding of software development best practices 📃 Skills: Python, AI, ML, APIs, TensorFlow, PyTorch, scikit-learn, OpenAI, LLM, NLP, AWS, GCP, Azure 🏢 Description: We are looking for a Junior/Regular AI Engineer to join our team and support the development of AI-powered features within our products. This role is ideal for someone with solid Python skills and initial hands-on experience working with AI/ML components. Responsibilities Develop and maintain backend components using Python Support the implementation of AI-driven features and capabilities within products Collaborate with product and engineering teams to integrate AI solutions Work with data and assist in building simple ML/AI models or integrations Contribute to code quality, testing, and documentation Requirements Minimum 2 years of commercial experience with Python Initial hands-on experience with AI/ML features (e.g. working with models, APIs like OpenAI, basic ML pipelines, etc.) Understanding of software development best practices Experience working with APIs and backend services Good problem-solving skills and willingness to learn in the AI space Nice to have Experience with libraries/frameworks such as: TensorFlow, PyTorch, scikit-learn Familiarity with LLMs, NLP, or Generative AI Experience with cloud platforms (AWS, GCP, Azure) Basic knowledge of data engineering concepts We offer Opportunity to work on real AI-driven products Exposure to modern AI technologies and tools Supportive team and learning environment

🏢 Summary: The role involves developing and maintaining Python-based backend components while supporting the implementation of AI-driven features in products. The position focuses on integrating AI/ML solutions, working with data, and contributing to simple model development and backend services. It is suited for candidates with commercial Python experience and initial hands-on exposure to AI technologies. 🗂️ Requirements: Minimum 2 years commercial experience with Python, Hands-on experience with AI/ML features, Experience working with APIs, Experience developing backend services, Understanding of software development best practices 📃 Skills: Python, AI, ML, APIs, TensorFlow, PyTorch, scikit-learn, OpenAI, LLM, NLP, AWS, GCP, Azure 🏢 Description: We are looking for a Junior/Regular AI Engineer to join our team and support the development of AI-powered features within our products. This role is ideal for someone with solid Python skills and initial hands-on experience working with AI/ML components. Responsibilities Develop and maintain backend components using Python Support the implementation of AI-driven features and capabilities within products Collaborate with product and engineering teams to integrate AI solutions Work with data and assist in building simple ML/AI models or integrations Contribute to code quality, testing, and documentation Requirements Minimum 2 years of commercial experience with Python Initial hands-on experience with AI/ML features (e.g. working with models, APIs like OpenAI, basic ML pipelines, etc.) Understanding of software development best practices Experience working with APIs and backend services Good problem-solving skills and willingness to learn in the AI space Nice to have Experience with libraries/frameworks such as: TensorFlow, PyTorch, scikit-learn Familiarity with LLMs, NLP, or Generative AI Experience with cloud platforms (AWS, GCP, Azure) Basic knowledge of data engineering concepts We offer Opportunity to work on real AI-driven products Exposure to modern AI technologies and tools Supportive team and learning environment

🏢 Summary: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. ・Working with structured data, documents, tables, financial metrics, and normalized evidence flows. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good understanding of AI / ML product workflows or strong interest in building software around AI outputs. ・Experience designing and consuming API contracts, schemas, and structured JSON payloads. ・Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. ・Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: ・100% remote work. ・Opportunity to work on a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.

🏢 Summary: Contract GenAI Python Developer role focused on building enterprise AI-powered applications, designing agentic AI architectures, and integrating large language models into scalable backend systems. The position involves implementing GenAI workflows, API integrations, and asynchronous data pipelines in a hybrid setup in Wroclaw. 🗂️ Requirements: 5+ years of Python development experience, Hands-on experience building AI or GenAI systems, Experience with agentic AI architectures, Experience integrating external APIs, Experience handling asynchronous and streaming data, Proficiency with Git workflows, Basic knowledge of relational databases and SQL, Ability to work hybrid in Wroclaw (minimum 2 days onsite) 📃 Skills: Python, GenAI, LLM, APIs, Async, Streaming, Git, SQL, LangChain, LangGraph, VectorDB, Embeddings, Azure, DevOps, CICD, Agents, Orchestration 🏢 Description: We are looking for a GenAI Python Developer to join a team building AI-powered solutions within enterprise environments. The role focuses on developing intelligent AI systems, integrating APIs, and implementing modern GenAI workflows using Python. You will work on designing and implementing agentic AI architectures , integrating large language models, and building scalable backend systems that power AI-driven applications. Send CV to ( marcillina.tietjen@dcvtechnologies.co.uk ) if you are interested. Location Wroclaw, Poland – Hybrid (minimum 2 days onsite) Employment Type Contract / B2B Key Responsibilities Develop AI-driven applications using Python Design and implement GenAI workflows and AI agents Integrate external APIs and AI services Work with asynchronous and streaming data pipelines Collaborate with engineering teams in Agile/Scrum environments Implement AI orchestration and workflow management Maintain high-quality code using Git workflows Support data integration and backend services using SQL databases Required Skills 5+ years Python development experience Hands-on experience building AI / GenAI systems Experience with agentic AI architectures (autonomous agents, planning, tool usage, memory) Experience calling APIs and handling async/streaming data Good understanding of Git workflows (branches, PRs, merge conflict resolution) Basic understanding of relational databases and SQL Strong collaboration and communication skills Ability to work hybrid in Wroclaw (2 days onsite) Nice to Have Experience with LangChain, LangGraph or similar AI frameworks Experience with vector databases and embeddings Knowledge of prompt engineering Familiarity with Azure DevOps pipelines (CI/CD) Experience working with multi-agent systems Experience with memory management in LLM architectures

🏢 Summary: Remote B2B opportunity for a Python Developer with GenAI experience to work on a long-term project focused on building and integrating AI systems, including agentic architectures and autonomous agents. The role involves developing AI-driven solutions, integrating APIs, and working with async or streaming data in a modern development environment. 🗂️ Requirements: Minimum 3 years of Python development experience or proven fast learning with demonstrable results, Hands-on experience with AI systems and agentic AI architectures, Experience with API integration and async or streaming data processing, Proficient in Git including branches, pull requests, and merge conflict resolution, Basic knowledge of relational databases and SQL, Ability to work from Poland and attend office at least two days per week 📃 Skills: Python, GenAI, AI, APIs, AsyncIO, Git, SQL, Postgres, LangChain, LangGraph, AzureDevOps, CI/CD, VectorDB, Embeddings, PromptEngineering, Scrum 🏢 Description: We are looking for a Python Developer with GenAI on behalf of our client, a well-known and fast-growing technology company offering a stable, long-term project in a modern environment. 📍Remote from Poland B2B contract Required Key Skills GEN AI Engineer 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems, preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Must Have 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems , preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Good to Have Experience with LangChain, LangGraph, or similar frameworks for building AI workflows Familiarity with Azure DevOps pipelines (CICD) Knowledge of vector databases, embeddings, or prompt engineering Experience working in a Scrum team Exposure to multi-agent systems, memory management in LLMs, or advanced orchestration techniques 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Python Developer role focused on building backend systems and AI/LLM integrations, starting with an open-source AI Red Teaming platform. The position involves developing a modular Python backend with integrations to major AI providers, real-time streaming, evaluation engines, analytics, and AWS deployment. Work includes commercial and open-source projects for international clients. 🗂️ Requirements: 3+ years commercial experience in Python backend development, Experience with Django, FastAPI, or Flask, Experience integrating AI/LLM APIs (e.g. OpenAI, Anthropic), Strong knowledge of PostgreSQL, Experience designing REST APIs, Experience with asynchronous programming in Python, Experience with Docker, Experience with CI/CD pipelines, Experience writing automated tests, Good command of English, Degree in Computer Science or related field 📃 Skills: Python, Django, FastAPI, Flask, PostgreSQL, REST, AsyncIO, Docker, CI/CD, OpenAI, Anthropic, Gemini, AWS, EKS, S3, RDS, WebSockets, SSE, LiteLLM 🏢 Description: We're looking for a Python Developer to join our team and work across a range of commercial and open-source projects focused on Python backend development and AI/LLM solutions. You'll build backends, design integrations with AI model providers, and contribute to products used by international clients. Project description: Your first project will be developing a Python-based backend for an open-source AI Red Teaming platform - a tool that enables organizations to systematically test and evaluate AI/LLM models for safety, fairness, and reliability. The project involves building a modular backend with integrations to major AI model providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, and others), real-time streaming, evaluation engine, analytics, and deployment on AWS. The platform will be released as an open-source product with a separate managed instance for the client. Requirements: - 3+ years of commercial experience in Python backend development - Experience with at least one modern Python web framework (Django, FastAPI, or Flask) - Practical experience integrating AI/LLM APIs into applications (e.g. OpenAI, Anthropic, or similar providers) - Solid knowledge of PostgreSQL and REST API design - Familiarity with async programming in Python - Experience with Docker and CI/CD pipelines - Experience writing automated tests - Good command of English (daily communication with an international client) - Degree in computer science or a related field Nice to have: - Experience with FastAPI - Experience with LiteLLM or similar LLM abstraction/routing libraries - Experience with real-time streaming (SSE, WebSockets) - Experience with AWS services (EKS, S3, RDS) - Familiarity with React or frontend technologies - Experience with open-source projects What We Offer - Fully remote work within a small, supportive team - Real responsibility from the start - no months of onboarding before you contribute - Variety - multiple projects mean diverse problems and technologies - Opportunities for professional growth, including contributions to open-source projects - A team culture built on transparency, trust, and fast feedback We look forward to hearing from you!

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team