Junior/Mid AI Software Engineer (Python)

🏢 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 focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.

🏢 Summary: Junior Python AI Engineer role focused on building and deploying scalable, secure AI-driven solutions using Python and cloud platforms in a hybrid work model. The position involves developing AI applications, cloud-native microservices, and CI/CD pipelines while collaborating with cross-functional teams. It offers growth opportunities, certifications, and a comprehensive benefits package. 🗂️ Requirements: 6–12 months of commercial experience writing production-ready Python code, Experience with AI technologies (OpenAI/Anthropic APIs, model deployment, prompt engineering, RAG, Agentic AI), Experience with API development using FastAPI, Flask or Django, Experience with at least one cloud provider: AWS, Azure or GCP, Commercial experience with CI/CD tooling, Ability to troubleshoot bugs and optimize performance, Strong communication and teamwork skills 📃 Skills: Python, AI, OpenAI, Anthropic, RAG, FastAPI, Flask, Django, AWS, Azure, GCP, CI/CD, Microservices, Serverless, Cloud 🏢 Description: We are seeking a skilled Junior Python Engineer with experience in AI technologies to join a project for one of our key Clients. As Junior Python AI Engineer, you will develop and deploy robust, scalable, and secure solutions leveraging Python, AI and cloud technologies. You will work closely with cross-functional teams to create innovative software systems that solve complex business problems and drive digital transformation. This position offers a hybrid model of work, with 3 days per week working from our office located in Katowice. Responsibilities Develop and maintain high-quality software solutions Write clean, efficient, and well-documented Python code to build and maintain AI applications, tools and services Implement and manage cloud-based solutions using platforms such as AWS, Azure, or Google Cloud Platform (GCP) Develop scalable microservices and serverless applications using cloud-native tools and frameworks Ensure system reliability and scalability through robust coding practices, automated testing, and effective monitoring Collaborate with product, operations, and engineering teams to gather requirements, refine features, and design solutions Implement CI/CD pipelines to streamline application deployment and delivery on cloud environments Troubleshoot production issues and optimize performance Stay current with Python and AI development trends, cloud technologies, and emerging tools Requirements 6 to 12 months of commercial experience writing production-ready, clean Python code Experience working with AI technologies (e.g., API integration of OpenAI/Anthropic, deploying models, prompt engineering, RAG, Agentic AI) Exposure to API development using frameworks like FastAPI, Flask or Django Experience working with at least one major cloud provider: AWS, Microsoft Azure, or Google Cloud Platform (GCP) Commercial experience utilizing Continuous Integration and Continuous Deployment tooling A proactive approach to troubleshooting bugs, optimizing performance, and resolving deployment bottlenecks Strong communication and collaboration skills in a team-oriented environment We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Experienced Python Engineer role focused on building and deploying AI-driven features using LLM technologies, with real impact on product direction and technical decisions. The position involves developing LLM/NLP models, orchestrating AI agents, optimizing performance for real-time applications, and collaborating directly with clients and cross-functional teams. Fully remote B2B role with competitive compensation and flexible working hours. 🗂️ Requirements: 5+ years of experience in Software Engineering, AI, ML or related field, Hands-on experience with LLMs or NLP in production environments, Experience with RAG, vector search or agent-based LLM architectures, Strong Python programming skills, Experience deploying models or pipelines using FastAPI, Ability to ensure statistical accuracy in model evaluation and lifecycle tracking, Fluency in Polish (B2+), Fluency in English (B2+) 📃 Skills: Python, LLM, NLP, RAG, VectorSearch, AgentArchitectures, NumPy, Pandas, Scikit-learn, FastAPI, MachineLearning, AI 🏢 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: The offer is for a Python (AI/ML) Engineer responsible for developing and deploying AI-driven business applications in the Azure cloud environment. The role focuses on building, optimizing and operationalizing AI/ML and LLM-based solutions, including APIs and microservices, with strong emphasis on code quality, testing and DevOps practices. It involves working with Azure AI services to deliver secure, scalable production-ready systems. 🗂️ Requirements: Hands-on experience with Azure AI/ML services (Azure OpenAI, Azure Machine Learning, Cognitive Services), Strong Python experience in AI/ML development, Experience deploying AI models using Docker, Kubernetes and AKS, Experience with CI/CD pipelines and DevOps practices in Azure, Experience building and maintaining RESTful APIs and microservices, Knowledge of Generative AI, LLM and ML, Ability to write and maintain unit tests with high test coverage, English proficiency at minimum B2 level 📃 Skills: Python, Azure, AzureOpenAI, AzureML, CognitiveServices, Docker, Kubernetes, AKS, CI/CD, DevOps, REST, Microservices, LLM, GenerativeAI, ML, NLP 🏢 Description: Wspólnie z naszym Partnerem, jednym z liderów w branży ubezpieczeniowej, poszukujemy osoby na stanowisko Python (AI/ML) Engineer. Projekt dotyczy rozwoju oraz wdrażania aplikacji biznesowych opartych na sztucznej inteligencji w środowisku chmurowym Azure. 📌 Możliwość pracy zdalnej z okazjonalnymi wizytami w biurze (osoby zamieszkujące w okolicy Warszawy/Gdańska - preferowana hybryda raz na tydzień/dwa w biurze) 💡 TWOJA ROLA: Pisanie i utrzymanie testów jednostkowych, zapewnienie odpowiedniego pokrycia testami oraz stosowanie najlepszych praktyk programistycznych (czysty kod, utrzymywalność i optymalizacja wydajności).Tworzenie, rozwijanie i wdrażanie aplikacji opartych na AI/ML z wykorzystaniem usług Azure. Rozwijanie i optymalizowanie rozwiązań opartych na Dużych Modelach Językowych (LLM) dostosowanych do rzeczywistych przypadków biznesowych. Rozwój API i mikroserwisów: Budowanie i utrzymanie API oraz mikroserwisów służących do efektywnego dostarczania rozwiązań AI/ML klientom. Zapewnienie, że wszystkie rozwiązania AI spełniają standardy bezpieczeństwa, wytwarzania oprogramowania i zarządzania. Usprawnianie operacjonalizacji modeli oraz rozwój backendu do inferowania modeli. 🔍 CZEGO OCZEKUJEMY OD CIEBIE? Praktyczne doświadczenie z usługami Azure AI/ML, w tym Azure OpenAI, Azure Machine Learning i Cognitive Services. Znajomość Docker, Kubernetes oraz Azure Kubernetes Service (AKS) w kontekście wdrażania modeli AI. Solidna znajomość pipeline'ów CI/CD oraz najlepszych praktyk DevOps w środowisku Azure. Biegła znajomość języka angielskiego w mowie i piśmie, minimum na poziomie B2. Doświadczenie w tworzeniu i utrzymaniu RESTful API oraz mikroserwisów. Znajomość Generatywnej AI, LLM, ML oraz (opcjonalnie) technologii NLP. Zaawansowana znajomość języka Python w kontekście rozwoju AI/ML. Mile widziane: Praktyczne doświadczenie w zakresie środków bezpieczeństwa AI i zarządzania modelami. Znajomość inżynierii promptów oraz strategii orkiestracji LLM. Doświadczenie w pracy z bazami danych wektorowych. ✨ OFERUJEMY: 🤖 Nowoczesny proces rekrutacji z AI Rekruterem (AIR) – podczas aplikacji możesz odbyć rozmowę z wirtualnym rekruterem 24/7, bez czekania na telefon, z natychmiastowym feedbackiem i możliwością powtórzenia rozmowy (liczy się ostatnia wersja). Finalną decyzję zawsze podejmuje Rekruter Connectis. Możliwość pracy zdalnej z okazjonalnymi wizytami w biurze (osoby zamieszkujące w okolicy Warszawy/Gdańska - preferowana hybryda raz na tydzień/dwa w biurze) Możliwość uczestnictwa w spotkaniach integracyjnych oraz meetupach technologicznych, umożliwiających dzielenie się wiedzą i doświadczeniem. Wsparcie dedykowanej osoby kontaktowej z Connectis, dostępnej w celu pomocy w sprawach związanych z projektem. Pracę w zespole ekspertów, w środowisku sprzyjającym wymianie wiedzy. 5000 PLN za polecenie znajomych do naszych projektów. Stabilną, długofalową współpracę w oparciu B2B. Proces zdalny. Dziękujemy za wszystkie zgłoszenia. Pragniemy poinformować że skontaktujemy się z wybranymi osobami.

🏢 Summary: Offer for an AI/ML Engineer to design and deploy end-to-end AI solutions in industrial environments, focusing on Computer Vision 2D/3D, sensor data analysis, and Physical AI. The role involves building production-ready models, implementing MLOps practices, and validating solutions with robots, cameras, and sensors. It targets practical AI deployments with real impact on physical systems. 🗂️ Requirements: Higher education in Computer Science, AI/ML, Mathematics, Physics, Robotics or related field, Minimum 2 years of commercial experience in AI/ML, Experience deploying ML models to production environments, Very good knowledge of Python, Experience with Deep Learning frameworks, Experience in Computer Vision 2D/3D, Experience in time-series analysis, Knowledge of Git and Docker, Experience with MLOps tools, Ability to use AI coding assistants, English level B2 or higher 📃 Skills: Python, NumPy, pandas, scikit-learn, PyTorch, TensorFlow, ComputerVision, TimeSeries, Git, Docker, MLflow, DVC, W&B, ONNX, Jetson, ROS, ROS2 🏢 Description: Poszukujemy AI/ML Engineera do rozwijania nowoczesnych rozwiązań z obszaru Computer Vision, analizy danych z czujników oraz Physical AI. Zakres obowiązków: Projektowanie i rozwój end-to-end pipeline'ów AI/ML. Budowa i rozwój modeli Computer Vision 2D/3D (skany 3D, point clouds). Tworzenie modeli time-series do analizy sygnałów z czujników (siła, akcelerometr). Wdrażanie rozwiązań anomaly detection oraz rozpoznawania geometrii detali. MLOps: wersjonowanie, CI/CD, monitoring modeli produkcyjnych. Testowanie rozwiązań na stanowiskach z robotami, kamerami i czujnikami. Współpraca z zespołem technicznym oraz dokumentacja projektowa. Wymagania: Wykształcenie wyższe (informatyka, AI/ML, matematyka, fizyka, automatyka i robotyka lub pokrewne). Minimum 2 lata doświadczenia komercyjnego w AI/ML. Doświadczenie we wdrażaniu modeli do środowiska produkcyjnego. Bardzo dobra znajomość Python (NumPy, pandas, scikit-learn). Deep Learning (PyTorch lub TensorFlow). Computer Vision 2D/3D oraz analiza szeregów czasowych. Znajomość Git, Docker oraz narzędzi MLOps (MLflow, DVC, W&B). Umiejętność pracy z narzędziami AI wspierającymi programowanie (Cursor, Codex, Claude Code). Samodzielność, inicjatywa i nastawienie na praktyczne wdrożenia. Język angielski na poziomie min. B2. Mile widziane: Doświadczenie z point clouds, anomaly detection i DoE. Edge deployment (ONNX, Jetson), ROS/ROS2. Praca z czujnikami force-torque. Doświadczenie w projektach startupowych lub B+R. Znajomość Foundation Models for Robotics (VLA). Publikacje naukowe lub doktorat. Jeśli chcesz rozwijać rozwiązania AI działające w rzeczywistym środowisku przemysłowym i mieć realny wpływ na produkt – zapraszamy do aplikowania.

🏢 Summary: Mid-level Python Engineer role focused on building and deploying AI-driven products using LLM technologies in production environments. The position involves developing LLM-powered pipelines, data extraction solutions, and performance-optimized AI systems while collaborating with product teams and clients. It offers growth in applied AI with increasing ownership over technical solutions. 🗂️ Requirements: 3+ years commercial experience as Software Engineer, Hands-on experience with Python, Experience with LLM or NLP solutions, Familiarity with RAG, vector search, embeddings, LLM pipelines, Experience building APIs with FastAPI, Experience with relational or NoSQL databases, Ability to design schemas and write efficient queries 📃 Skills: Python, NumPy, Pandas, Scikit-learn, LLM, NLP, RAG, FastAPI, PostgreSQL, MySQL, MongoDB, SQL, NoSQL, VectorSearch, Embeddings 🏢 Description: The role We’re looking for a Mid-level Python Engineer (3+ years of experience) to join our team and work on AI-driven products using LLM technologies.If you want to grow in applied AI, build real production features, and have exposure to client-facing projects - this role is for you. You’ll work closely with more experienced engineers, product managers, and clients, gradually taking more ownership over the solutions you build. What you’ll do Develop and deploy AI-driven features with a focus on reliability and iteration Support the implementation of LLM/NLP-based data extraction and analysis solutions Work on LLM-powered pipelines (e.g. RAG, prompt-based systems, basic agent workflows) Help optimize performance of AI systems for real-time or larger-scale use cases Participate in client meetings to understand requirements and discuss progress (with support) Collaborate closely with product managers, engineers, and other stakeholders Learn and apply best practices around model evaluation, monitoring, and lifecycle tracking What we are looking for 3+ years of commercial experience as a Software Engineer Hands-on experience with Python (e.g. NumPy, Pandas, Scikit-learn or similar) Initial experience working with LLMs or NLP solutions Familiarity with concepts like RAG, vector search, embeddings, or LLM-based pipelines Experience building services using FastAPI Willingness to learn and grow in AI/LLM-based architectures Experience working with databases - both relational and/or NoSQL (e.g. PostgreSQL, MySQL, MongoDB); ability to design simple schemas and write efficient queries Comfortable working in a bilingual environment ( Polish B2+, English B2+ ) What we offer 15 000 - 20 000 PLN net + VAT monthly (B2B) 20/26 paid vacation days 🌴 100% remote work and flexible working hours Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️ Employee referral bonuses Equipment of your choice (MacBook by default) Interesting, meaningful projects- we only take on the ones we believe in 🙂

🏢 Summary: Mid-level Python Engineer role focused on building and deploying AI-driven products using LLM technologies, including RAG pipelines, NLP solutions, and real-time AI systems. The position involves collaboration with engineers, product managers, and clients while gradually taking ownership of production-ready AI features. The offer includes a fully remote setup, flexible hours, and B2B compensation. 🗂️ Requirements: 3+ years commercial experience as a Software Engineer, Experience with Python, Experience with NumPy, Experience with Pandas, Experience with Scikit-learn, Initial experience with LLMs or NLP solutions, Familiarity with RAG, Familiarity with vector search, Familiarity with embeddings, Experience with FastAPI, Experience with relational or NoSQL databases, Ability to design schemas and write efficient queries, Polish B2+, English B2+ 📃 Skills: Python, NumPy, Pandas, Scikit-learn, LLM, NLP, RAG, FastAPI, PostgreSQL, MySQL, MongoDB, SQL, NoSQL, Embeddings 🏢 Description: The role We’re looking for a Mid-level Python Engineer (3+ years of experience) to join our team and work on AI-driven products using LLM technologies. If you want to grow in applied AI, build real production features, and have exposure to client-facing projects - this role is for you. You’ll work closely with more experienced engineers, product managers, and clients, gradually taking more ownership over the solutions you build. What you’ll do Develop and deploy AI-driven features with a focus on reliability and iteration Support the implementation of LLM/NLP-based data extraction and analysis solutions Work on LLM-powered pipelines (e.g. RAG, prompt-based systems, basic agent workflows) Help optimize performance of AI systems for real-time or larger-scale use cases Participate in client meetings to understand requirements and discuss progress (with support) Collaborate closely with product managers, engineers, and other stakeholders Learn and apply best practices around model evaluation, monitoring, and lifecycle tracking What we are looking for 3+ years of commercial experience as a Software Engineer Hands-on experience with Python (e.g. NumPy, Pandas, Scikit-learn or similar) Initial experience working with LLMs or NLP solutions Familiarity with concepts like RAG, vector search, embeddings, or LLM-based pipelines Experience building services using FastAPI Willingness to learn and grow in AI/LLM-based architectures Experience working with databases - both relational and/or NoSQL (e.g. PostgreSQL, MySQL, MongoDB); ability to design simple schemas and write efficient queries Comfortable working in a bilingual environment ( Polish B2+, English B2+ ) What we offer 14 000 - 18 000 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, meaningful projects - we only take on the ones we believe in 🙂

🏢 Summary: On-site Junior AI Python Developer role in Wroclaw focused on building and maintaining AI/ML-driven automation solutions. The position involves integrating LLMs and machine learning models into production, developing scalable APIs and data pipelines, and supporting CI/CD-based deployments. You will collaborate with Data Science and Infrastructure teams to deliver reliable, high-performance intelligent systems. 🗂️ Requirements: 1+ years software development experience, Strong Python proficiency, Knowledge of data structures, Knowledge of algorithms, Understanding of object-oriented programming, Understanding of concurrency, Familiarity with AI/ML/LLM concepts, Experience building AI-powered automation tools, Experience with CI/CD pipelines, Experience with RESTful APIs, Experience with AWS, Fluent English, Legal right to work in the EU 📃 Skills: Python, AI, ML, LLM, REST, AWS, Docker, Kubernetes, Jenkins, GitLab, CICD, Algorithms, DataStructures, OOP, Concurrency, APIs 🏢 Description: Wroclaw-based opportunity with on-site work model. As a Junior AI Python Developer , you will be working for our client, a forward-thinking leader in AI/ML technologies. You will contribute to building, maintaining, and evolving automation solutions powered by the latest artificial intelligence and machine learning models. Join a dynamic team focused on transforming complex data into actionable insights and pioneering the future of intelligent automation. Your main responsibilities: Design, develop, and maintain automation tools and systems utilizing AI/ML technologies. Collaborate with Data Science and Infrastructure teams to integrate large language models (LLMs) and machine learning models into production environments. Build and manage scalable APIs and real-time data processing pipelines for inference and analytics. Develop, test, and deploy CI/CD pipelines to ensure reliable and repeatable deployment processes. Stay updated with the latest advancements in AI/ML and apply relevant innovations to enhance business and research workflows. Optimize and troubleshoot existing solutions to improve performance and efficiency. Act as a proactive owner of your projects, delivering high-quality results in a fast-paced setting. You're ideal for this role if you have: 1+ years of professional software development experience. Strong proficiency in Python programming. Solid understanding of core computer science fundamentals, including data structures, algorithms, object-oriented programming, and concurrency. Familiarity with AI/ML/LLM concepts and the ability to collaborate effectively with Data Science teams. Experience building automation tools and services, especially those powered by AI. Exposure to CI/CD pipelines and tools like GitLab CI, Jenkins, Docker, and Kubernetes. Experience developing RESTful APIs and working with cloud platforms such as AWS. A problem-solving mindset with a willingness to take ownership of your work. It is a strong plus if you have: Additional certifications or experience in cloud solutions or container orchestration. Practical knowledge of scalable deployment architectures. Language Required for the role : Fluent English (verbal and written) Eligibility for the role : Only candidates with an existing legal right to work in the European Union will be considered for this role. We offer you: ITDS Business Consultants is involved in various, innovative, and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes: Stable and long-term cooperation with very good conditions Enhance your skills and develop your expertise in the financial industry Work on the most strategic projects available in the market Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years Participation in Social Events, training, and work in an international environment Access to an attractive Medical Package Access to Multisport Program #GETREADY Internal job ID #8840 You can report violations in accordance with ITDS’s Whistleblower Procedure available here .