Senior Data Engineer (Python / GenAI)

🏢 Summary: B2B Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

🏢 Summary: Senior Full Stack Software Engineer role focused on building and scaling a production-ready AI product, covering feature development, infrastructure, and client integrations. The position involves hands-on work with Python, DevOps/MLOps, and GenAI solutions, ensuring system reliability and production readiness. This is a remote contract role with expected extensions. 🗂️ Requirements: Strong Python development experience, DevOps expertise with CI/CD pipelines, MLOps experience with automated deployment and monitoring, Experience building agentic AI products, Experience with API integrations, Hands-on experience with GenAI/LLM, Ability to harden systems for production, Experience fine-tuning AI models, Experience with prompt engineering 📃 Skills: Python, CI/CD, DevOps, MLOps, GenAI, LLM, APIs, Automation, Deployment, Monitoring, Fine-tuning, Prompt-engineering 🏢 Description: Location : Remote with occasional visits to Łódź Employment type : 2 months initial contract - to be extended, B2B/Umowa Zlecenie Salary: up to 160zł/hour (B2B) Senior Software Engineer – AI Product (Full Stack) We’re looking for a Senior Software Engineer to help build and scale a production-ready AI product. This is a hands-on, full-stack role covering feature development, infrastructure, and client integration. What you’ll do Design, build, and deploy new features in Python Own DevOps/MLOps: CI/CD pipelines, automated model deployment, monitoring Integrate AI solutions into client-facing products Improve system reliability, performance, and production readiness Enhance AI models through fine-tuning and prompt engineering Contribute to short-term R&D initiatives and product innovation Build and evolve internal systems for model evaluation and performance tracking Must-have Strong Python development experience DevOps & MLOps expertise (CI/CD, automation, deployment) Experience building agentic AI products and API integrations Hands-on GenAI/LLM experience (classic ML not required) Proven ability to harden systems for production Nice to have Experience building model evaluation/monitoring systems Fine-tuning, prompt engineering, and performance optimization Details Contract extensions expected If you enjoy building real-world AI products end-to-end—from models to production—we’d love to hear from you.

🏢 Summary: Senior Java Engineer role in a global banking transformation programme focused on building a next-generation in-house Collateral & Facility Management platform. The position involves developing enterprise-grade microservices on GCP while leveraging GenAI-assisted SDLC practices. You will deliver secure, scalable, production-ready solutions within international cross-functional teams. 🗂️ Requirements: Strong hands-on experience with Java, Strong hands-on experience with Spring Boot, Experience building production-grade microservices, Experience with distributed systems, Experience with Oracle and/or PostgreSQL, Experience with JUnit, Mockito, Testcontainers, Experience with API and contract testing, Experience with CI/CD pipelines, Experience with Jenkins or GitLab, Experience with SonarQube and SAST/DAST tools, Understanding of RESTful APIs and event-driven architectures, Hands-on experience with GCP, Knowledge of secure software development practices, Practical exposure to LLMs and GenAI-assisted development 📃 Skills: Java, Spring, SpringBoot, GCP, Oracle, PostgreSQL, JUnit, Mockito, Testcontainers, Jenkins, GitLab, SonarQube, SAST, DAST, REST, Microservices, CI/CD, LLM, GenAI 🏢 Description: 📍 Location: Kraków (hybrid: 2 days in the office / 3 days remote) 📄 B2B: 200 - 250 PLN/h 🏦 Industry: Banking We are currently looking for an experienced Senior Java Engineer with GCP / GenAI to join a strategic global banking programme focused on building next-generation Collateral & Facility Management capabilities. The initiative involves developing an in-house enterprise platform that will replace an existing commercial solution, leveraging modern engineering practices and an AI-enabled Software Development Lifecycle (SDLC). This role combines hands-on software engineering, cloud technologies, modern integration patterns, and responsible adoption of AI-assisted development. You will work within international cross-functional teams delivering scalable, secure, and production-ready solutions while contributing to the adoption of GenAI-powered engineering practices across the programme. Key responsibilities: Design, develop, test, and maintain enterprise-grade Java microservices and backend components. Contribute to solution architecture and integration design, ensuring alignment with target architecture and non-functional requirements. Deliver high-quality production code with a strong focus on security, resilience, maintainability, and performance. Build and support distributed services running in cloud environments. Develop robust automated testing strategies, including unit, integration, and contract testing. Participate in technical design reviews, code reviews, and security reviews, ensuring engineering quality standards are met. Collaborate with architects, Tech Leads, QA, SRE, platform teams, and business stakeholders to deliver integrated solutions. Support CI/CD processes, quality gates, and release management activities. Apply AI-assisted development tools and GenAI techniques responsibly to accelerate software delivery while maintaining governance, traceability, and security standards. Contribute to AI-enabled engineering practices, including LLM-assisted development, RAG concepts, and agent-based automation patterns. Promote engineering excellence, continuous improvement, and knowledge sharing across teams. Requirements: Strong hands-on experience with Java and Spring Boot in enterprise-scale environments. Experience building and maintaining production-grade microservices and distributed systems. Solid experience with relational databases ( Oracle and/or PostgreSQL ), including schema design, performance optimization, and transactional integrity. Strong testing background, including JUnit, Mockito, Testcontainers , API testing, and contract testing. Practical experience with CI/CD pipelines , quality gates, and code quality tools (e.g., Jenkins, GitLab, SonarQube, SAST/DAST). Good understanding of API design, RESTful services, messaging, and event-driven architectures. Experience contributing to technical design decisions and balancing business requirements with engineering best practices. Hands-on experience working with Google Cloud Platform (GCP) . Understanding of secure software development practices and operational readiness requirements. Practical exposure to GenAI tools and concepts , including LLMs and AI-assisted software development workflows. Strong communication skills and ability to work effectively within international, cross-functional teams. Nice to have: Experience delivering solutions within highly regulated financial services environments. Knowledge of cloud-native technologies, containers, Kubernetes, and service mesh architectures. Experience with observability platforms, resilience testing, and performance engineering. Hands-on experience implementing or integrating GenAI solutions such as RAG pipelines, prompt engineering, evaluation frameworks, or AI governance controls. Experience driving AI-enabled SDLC initiatives and engineering productivity improvements. Understanding of modern software delivery practices and platform engineering principles. What we offer: Opportunity to work on a strategic global banking transformation programme. Exposure to cutting-edge AI-enabled software engineering practices and cloud technologies. Collaboration with highly experienced international engineering and architecture teams. Long-term cooperation within a stable enterprise-scale environment. Private healthcare package (LuxMed). Multisport card. Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams.

🏢 Summary: Hybrid Senior Python Developer role focused on building high-performance APIs, microservices, and large-scale data processing pipelines within NLP, Machine Learning, and Generative AI systems. The position involves developing event-driven architectures, optimizing streaming and GPU-based workloads, and collaborating with ML teams to productionize models. You will work across the full service lifecycle in a cloud-based, production environment. 🗂️ Requirements: 5+ years of experience building and maintaining production systems, Strong Python backend development experience, Experience building APIs with FastAPI, Flask, or similar frameworks, Hands-on experience with streaming or message-based systems, Strong knowledge of Docker and Kubernetes, Proficiency in Linux environments, Experience with AWS (compute, storage, networking, monitoring), Experience with CI/CD pipelines and automated testing, Experience with logging and monitoring tools 📃 Skills: Python, FastAPI, Flask, Kafka, Docker, Kubernetes, Linux, AWS, CI/CD, Git, REST, Microservices, NLP, MachineLearning, GenerativeAI, GPU, Go, .NET 🏢 Description: Senior Python Developer 📍 Gdańsk, Poland | Hybrid (3 days from the office, 2 days remote) About the Company An international technology organization delivering advanced solutions that support engineering workflows and knowledge management. The company develops platforms and tools that enable efficient data processing, automation, and decision-making at scale across complex business environments. About the Team The Core Intelligence team is responsible for building and operating core backend services and large-scale data processing pipelines. The team works at the intersection of NLP, Machine Learning, and Generative AI, transforming unstructured and semi-structured data into high-quality, actionable insights. You will collaborate closely with software engineers, data scientists, and ML engineers to deliver robust, production-grade systems that bring advanced models into real-world applications. Responsibilities Design and develop high-performance APIs supporting data processing and intelligent systems Build and maintain production-grade microservices and data pipelines Implement and operate event-driven architectures and streaming systems Optimize data pipelines including preprocessing, model serving, and inference (including GPU workloads) Participate in the full service lifecycle: design, development, deployment, monitoring, and continuous improvement Collaborate with Data Science and ML teams to productionize models Requirements 5 + years of experience building and maintaining production systems Strong Python skills (backend development, APIs – e.g., FastAPI, Flask , or similar) Hands-on experience with streaming/message-based systems (e.g., Kafka ) Solid understanding of Docker , Kubernetes , and Linux environments Experience working with cloud platforms (preferably AWS : compute, storage, networking, monitoring) Familiarity with CI/CD pipelines, automated testing, logging, and monitoring Experience with Go, .NET, or other programming languages is a plus. Nice to Have Experience with data-intensive systems Interest or experience in Machine Learning, Generative AI, or agent-based systems. We offer Hybrid work model: 3 days per week from our modern office in Gdańsk Przymorze, 2 days remote. Employment via Antal: choice of employment contract or B2B contract, depending on your preference. Strong engineering culture, direct access to experienced experts and real influence on architecture and technology choices. All necessary equipment for effective office and home work. Attractive benefits package including private medical care, Multisport, life insurance and wellbeing initiatives. Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams. Discover our latest job openings: https://en.antal.pl/candidates Follow us on LinkedIn: https://www.linkedin.com/company/antalpoland

🏢 Summary: Senior Software Engineer role focused on designing, building, and supporting scalable applications in the financial domain within a small Agile team. The position covers the full software development lifecycle, including analysis, design, implementation, testing, deployment, and production support. It emphasizes microservices and event-driven architecture with strong engineering standards and ownership. 🗂️ Requirements: Minimum 5 years of professional software development experience, Strong knowledge of Java, Strong knowledge of Python, Hands-on experience with Spring Framework, Understanding of SOLID principles, Knowledge of Clean Code practices, Experience with DDD and BDD, Experience with SQL and NoSQL databases, Experience with PostgreSQL, Experience with MongoDB, Familiarity with microservices architecture, Experience with event-driven or streaming systems 📃 Skills: Java, Python, Spring, SQL, NoSQL, PostgreSQL, MongoDB, Microservices, EventDriven, SOLID, CleanCode, DDD, BDD 🏢 Description: Senior Software Engineer 📍 Kraków, Poland (hybrid – min. 2 days/week in the office) 🕒 Full-time | B2B 190-230PLN netto/h About the Role We are looking for an experienced Senior Software Engineer to join a global technology team delivering innovative digital solutions in the financial domain. In this role, you will work closely with a Development Manager and a small, cross-functional team to build and maintain scalable applications. You will be involved in the entire software development lifecycle – from analysis and design to deployment and production support. This is a hands-on role in a collaborative environment where teams take full ownership: “you build it, you support it.” Your Responsibilities Work in a small Agile team (4–6 people) with a dedicated Product Owner Translate business requirements into user stories and deliver them iteratively to production Design and implement high-quality, scalable solutions aligned with technical standards Participate in all stages of the development lifecycle, including testing and production support Identify and manage technical debt, balancing it with new feature development Collaborate closely with team members through pairing and knowledge sharing Contribute to a culture of continuous improvement and experimentation Required Skills & Experience Minimum 5 years of professional software development experience Strong knowledge of Java and Python Hands-on experience with Spring Framework Solid understanding of software engineering principles ( SOLID, Clean Code, DDD, BDD ) Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with microservices architecture Experience with event-driven systems / streaming technologies Strong communication skills in English (written and spoken) Ability to collaborate, mentor, and support other engineers Nice to Have Experience with JavaScript (Vue.js) Background in AI / Machine Learning / NLP / Data Science Knowledge of: Prompt Engineering LangChain / LangGraph Clean Architecture What You Can Expect Work in a globally distributed engineering organization Small, self-organizing teams with strong ownership Continuous delivery approach (no traditional sprints – focus on flow and frequent releases) Opportunity to work on cutting-edge AI-driven solutions Exposure to modern technologies and experimentation with new tools A collaborative culture where learning, pairing, and knowledge sharing are encouraged Benefits: Multisport Card and Luxmed Who We’re Looking For We value engineers who: Are curious, adaptable, and open to experimentation Enjoy solving complex problems with technology Take ownership and responsibility for their work Are comfortable stepping outside their specialization when needed See failure as a learning opportunity Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams.

🏢 Summary: Senior Python Engineer role focused on designing and developing GenAI applications, including architecture, backend services, and AI integrations. The position involves building and maintaining APIs and microservices, integrating GenAI models (e.g., RAG, agentic workflows), and ensuring high-quality, well-tested solutions in cloud environments. The role requires close collaboration across the full project lifecycle while driving technical excellence in AI-powered systems. 🗂️ Requirements: 6+ years of experience in Python development, Fluency in Python ecosystem, Experience with FastAPI or Flask, Experience with SQL and NoSQL databases, Knowledge of clean code and design patterns in Python, Experience writing unit tests, Experience integrating GenAI models into business applications, Knowledge of RAG and agentic workflows, Experience building APIs and microservices, Familiarity with AWS, GCP, or Azure, Familiarity with Continuous Deployment, English C1, Polish C1 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, APIs, Microservices, AWS, GCP, Azure, CI/CD, UnitTesting 🏢 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: The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies. A supportive and collaborative work environment that fosters professional growth . Competitive remuneration and various bonuses, such as access to private medical care ( Medicover or Luxmed ) and sport ( Multisport ) cards, reimbursement for English classes , access to the Employee Capital Plan ( PPK ) and b udget for professional development. We mostly work remotely , but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions. Non-work-related activities galore! We have a running team (with a pro coach), internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program . Company culture rooted in respect and cooperation, not competition . You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.

🏢 Summary: Senior Data Scientist role focused on leading the design and delivery of production-grade Generative AI solutions using LLMs, including RAG pipelines, chatbots, and AI agents. The position combines hands-on development with architectural decision-making and technical mentorship, delivering scalable GenAI systems for large enterprise clients. You will own the full lifecycle from solution discovery through deployment, safety, and optimization. 🗂️ Requirements: 6+ years experience in Data Science or AI engineering, 4+ years production experience with Python for AI/ML, 2+ years building and deploying LLM-based systems in production, Experience designing and implementing RAG pipelines, Experience with model fine-tuning techniques (LoRA, QLoRA, SFT), Experience building end-to-end GenAI applications including orchestration and APIs, Ability to design system architectures for LLM-based solutions, Experience implementing AI safety and governance controls, Strong analytical and problem-solving skills, Professional English communication skills 📃 Skills: Python, LLMs, LangChain, LlamaIndex, LangGraph, RAG, LoRA, QLoRA, SFT, APIs, VectorDB, AI, MachineLearning 🏢 Description: ABOUT THE COMPANY Our client is an end-to-end data services partner to global enterprises, founded in 2008 and headquartered in Warsaw. Our teams work with over 75 leading consumer packaged goods brands across more than 30 countries, helping them unlock the full value of their data — from strategy and development through to operations and adoption. Our work spans supply chain analytics, customer analytics, AI and machine learning, data platforms, and digital commerce. We are recognised as a Strong Performer in the Gartner Peer Insights Voice of the Customer report for data and analytics, and hold Great Place to Work certification in multiple countries. ABOUT THE ROLE We're looking for an experienced Senior Data Scientist with deep expertise in Generative AI to lead projects building and implementing advanced LLM-based systems — including chatbots, AI agents, and RAG pipelines. This is a technical leadership role: you'll make architectural decisions, select technologies, set best practices, and mentor other engineers, while remaining hands-on across the full solution lifecycle. You'll work closely with data engineers, product owners, and full-stack developers to deliver scalable GenAI applications for large enterprise clients, primarily in CPG, retail, and manufacturing. WHAT YOU'LL WORK ON Solution design and discovery Lead discovery and solution design for GenAI use cases — translating business problems into concrete architectures covering LLM selection, RAG, fine-tuning, agents, and guardrails. End-to-end GenAI applications Build complete GenAI solutions covering data ingestion, retrieval layers, orchestration (LangChain, LlamaIndex, LangGraph), API and backend, and lightweight UI where needed. RAG pipeline design Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Model selection, prompting, and fine-tuning Own prompting strategies, model selection, and fine-tuning (LoRA, QLoRA, SFT) for text, code, and multimodal models, including evaluation and A/B testing. Safety and governance Implement safety, compliance, and governance controls including input/output filters, PII handling, audit logs, and human-in-the-loop review where required. Requirements and estimation Gather technical requirements from stakeholders and produce reliable estimates for planned work. Mentorship and knowledge sharing Mentor other data scientists and engineers in GenAI patterns, code quality, and best practices. Contribute to internal libraries, templates, and reusable components. Staying current Track the GenAI landscape — new open and hosted models, agentic frameworks, evaluation techniques — and run targeted PoCs to validate emerging approaches. WHAT WE LOOK FOR 6+ years in Data Science or AI engineering Broad experience across the data science and AI stack, with a track record of delivering production systems. 4+ years of production Python for AI Fluent in writing production-ready Python for AI and ML workloads — clean, maintainable, and deployable. 2+ years of production LLM development Hands-on experience building and shipping LLM-based systems in production environments, not just research or prototypes. Strong analytical and problem-solving skills Able to break down ambiguous problems, make sound architectural decisions under uncertainty, and defend those decisions clearly. Excellent English communication Comfortable working directly with international clients and cross-functional teams. Able to translate technical complexity for non-technical stakeholders. THE TEAM You'll join a specialist Data Science and AI practice working alongside experienced consultants, ML engineers, and data engineers. The team delivers solutions for large international clients across CPG, retail, and manufacturing. There is a strong knowledge-sharing culture, with internal communities, competency centres, and structured learning programmes built into how the team operates. COMPENSATION & BENEFITS Rate 105 – 170 PLN per hour on a B2B contract, depending on experience. Work model Fully remote or office-based — your choice. Flexibility on working hours and contract form. Workation policy Option to work remotely from other locations for defined periods. Onboarding Comprehensive online onboarding programme with a dedicated buddy from day one. Learning and development Unlimited access to the Udemy learning platform from day one. Certificate training programmes, upskilling support, capability development programmes, competency centres, knowledge sharing sessions, community webinars, and over 110 training opportunities per year. Career growth Internal promotion pathways — 76% of managers were promoted internally. Cooperation with top-tier engineers and domain experts across the organisation. Referral bonuses Financial rewards for successful employee referrals. Wellbeing Activities to support health and wellbeing, with opportunities to contribute to charitable causes and environmental initiatives. Equipment Modern office equipment provided. Employer recognition Great Place to Work certified employer.

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal products. The position centers on integrating LLM-based models via APIs, building enterprise-grade microservices, and collaborating with Data Scientists in a distributed Agile team. Work involves productionizing AI models within the Azure ecosystem, with emphasis on structured, secure, and high-quality implementations. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience in enterprise-scale environments, Experience building and consuming APIs, Ability to work in regulated or structured environments, English proficiency at C1 or strong B2 level 📃 Skills: Python, LLM, GenAI, APIs, RAG, Azure, AzureOpenAI, Microservices, REST, VectorDB 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 Summary: Full-time remote B2B role for a Software Engineer focused on Python backend development and implementation of Generative AI solutions for internal enterprise products. The position involves integrating LLM-based models via APIs, building microservices, and deploying production-ready AI applications in an Azure-based environment. Work is primarily backend development with partial focus on GenAI/LLM integration in a distributed Agile team. 🗂️ Requirements: Strong experience in Python backend development, Experience implementing LLM solutions via APIs, Understanding of Generative AI architectures and concepts, Experience building and consuming APIs, Experience with enterprise-scale systems, Ability to work in regulated or structured environments, English proficiency at B2 or higher 📃 Skills: Python, GenAI, LLM, API, Azure, AzureOpenAI, RAG, Microservices, REST, VectorDB, Git, Agile 🏢 Description: PROJECT DETAILS: Workload: Full-time Model of working: 100% Remote Contract: B2B, long-term Rate: up to 145 PLN/h nett + VAT About the Role We are looking for a Software Engineer to work on Generative AI–based internal products developed in the company, supporting internal employees. You will join a distributed, fully remote team working on one of two AI-related business streams. The focus of the role is on Python backend development combined with implementation of Generative AI solutions , closely collaborating with Data Scientists who prepare the models. The solutions you build will be used internally within the organization. Responsibilities Design, develop, and deploy backend solutions in Python Implement Generative AI models prepared by Data Scientists into production-ready applications Wrap AI models with application logic and expose them as ready-to-use internal solutions Work mainly with API-based integrations , including LLM usage via APIs Implement and support LLM-based solutions (classic LLM usage through APIs) Work with Retrieval-Augmented Generation (RAG) concepts, including knowledge bases for language models Develop and maintain APIs and microservices Ensure solutions meet enterprise-level quality, security, and governance standards Write clean, maintainable code with appropriate test coverage Collaborate within Agile teams (PM, PO, developers, QA, architects) Participate in the full lifecycle: Business analysis Development Hypercare Further development Technology & Architecture Context Backend and GenAI work is fully Python-based GenAI models are consumed and exposed via APIs Azure OpenAI is used as part of the Azure ecosystem Strong emphasis on correct and well-structured implementation of AI models , not on model training Approximate work split: 80% backend Python development 20% GenAI/LLM solution implementation Key Requirements Strong experience in Python backend development Experience implementing solutions using LLMs via API Understanding of Generative AI architectures and basic GenAI concepts Experience with enterprise-scale environments Experience in building and consuming APIs Ability to work in regulated or structured organizational environments English: C1 or strong B2 Nice to Have Experience in regulated industries Familiarity with RAG concepts (vector databases / knowledge bases) Experience working in large enterprise organizations

🏢 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