Python Engineer (LLMs)

🏢 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: 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: Full-time B2B opportunity for a Middle Python Engineer to build scalable backend systems and AI infrastructure for enterprise applications in a hybrid Warsaw setup. The role involves developing REST APIs, distributed systems, and cloud-based services while owning features through the full software lifecycle. Candidates will work in an AI-native environment focused on production-ready enterprise AI solutions. 🗂️ Requirements: 3-5 years commercial experience as Backend Engineer, Strong Python programming skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Strong knowledge of SQL databases, Strong knowledge of NoSQL databases, Experience designing and supporting production-grade systems, Experience with full software lifecycle ownership, Ability to develop scalable backend services and REST APIs, Comfortable working in AI-native engineering environments 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, REST, TypeScript 🏢 Description: Python Engineer 💰 Salary: 5000-7000$ 🌎 Warsaw, Hybrid (1 day remote per week) 🕦 Full-time ☑️ B2B Contract We’re looking for a Middle Python Engineer for our client, which is an AI infrastructure company that helps large enterprises safely and effectively adopt AI in their daily operations. Rather than building general-purpose AI, our client creates a platform that connects AI to a company's internal knowledge, policies, workflows, and business rules. This enables AI to provide accurate answers and automate complex business processes instead of relying on generic responses or potentially inaccurate information. Their customers include well-known enterprise organizations such as Glovo, Nespresso, and HelloFresh, where AI is used to improve internal operations, customer support, and business efficiency. The company operates in the rapidly growing field of Agentic AI, focusing on building reliable, production-ready AI systems for enterprise environments. Requirements: 3-5 years of commercial experience as a Backend Engineer developing production-grade systems. Strong Python programming skills, with the ability to write clean, maintainable, and well-structured backend code. Good understanding of distributed systems. Hands-on experience with cloud platforms, such as AWS, GCP, or Azure. Strong knowledge of SQL and NoSQL databases, including schema and data model design. Experience owning features throughout the full software lifecycle, from design and implementation to deployment, monitoring, and production support. Comfortable working in an AI-native engineering environment. Nice to have: Exposure to agentic systems: AI agents, tool-calling, orchestration, retrieval, or LLM-backed infrastructure Working knowledge of TypeScript Responsibilities: Design, develop, and maintain scalable backend services, REST APIs, data pipelines, and background processing systems. Translate business and product requirements into technical solutions, evaluating architecture, trade-offs, and implementation approaches. Own features end-to-end, from technical design and development through deployment, monitoring, and ongoing production support. Build reliable, secure, and high-performance backend systems that support enterprise AI applications. Design efficient interfaces, data models, and service architectures that integrate seamlessly within the broader platform. Monitor, troubleshoot, and improve system reliability, observability, scalability, and performance in production environments. Collaborate closely with Product Managers, Frontend Engineers, and Platform/Infrastructure teams to deliver end-to-end product features. Write clear technical documentation, design notes, and architecture diagrams to support collaboration and knowledge sharing. Leverage AI-powered development tools to improve engineering productivity, automate repetitive tasks, and streamline development workflows. Participate in code reviews and design reviews, ensuring high engineering standards, maintainable code, and best practices.

🏢 Summary: Senior Python Engineer role focused on building production-grade data pipelines and AI-driven systems, including LLM-based applications. The position involves designing scalable architectures, processing large datasets, and integrating modern cloud data platforms. You will work on complex, real-world data solutions used in production environments. 🗂️ Requirements: Senior-level Python experience, Strong knowledge of SQL and data processing, Experience building and maintaining data pipelines, Hands-on experience with orchestration tools (Airflow, Prefect, or Dagster), Experience with cloud data platforms (S3, BigQuery, Snowflake, or Databricks), Experience integrating LLM frameworks (LangChain or LlamaIndex), Ability to design scalable, production-ready systems 📃 Skills: Python, Pandas, NumPy, PySpark, SQL, Airflow, Prefect, Dagster, S3, BigQuery, Snowflake, Databricks, LangChain, LlamaIndex, LLM 🏢 Description: Our client is a technology consultancy that builds advanced data and AI systems for startups and enterprise companies. Their focus is on delivering production-ready solutions, especially in areas like data platforms, large-scale processing, and LLM-based applications. The Role As a Senior Python Engineer, you’ll be working on complex, data-heavy systems that go beyond prototypes. This includes designing and developing data pipelines, handling large-scale datasets, and integrating modern AI solutions (including LLMs) into real-world products. You’ll collaborate closely with experienced engineers and take part in architectural decisions, helping turn ideas into scalable, reliable systems used in production. What we’re looking for We’re looking for a strong senior-level engineer with deep experience in Python (including libraries like Pandas, NumPy, and PySpark), as well as solid knowledge of SQL and data processing. You should be comfortable working with data pipeline orchestration tools such as Airflow, Prefect, or Dagster, and have hands-on experience with modern cloud data platforms (e.g. S3, BigQuery, Snowflake, or Databricks). Experience with LLM frameworks like LangChain or LlamaIndex, especially in the context of data integration, is an important part of this role. Why join This is a great opportunity to work on real AI and data systems at scale, in a consultancy environment where engineering quality matters and you have a genuine impact on technical decisions. You’ll join a senior, low-ego team, work fully remotely from Poland, and contribute to projects for international clients.

🏢 Summary: Mid-level Software Engineer contractor role focused on designing, building, and maintaining scalable backend services and data pipelines using Python. The position involves migrating SAS code to Python, developing APIs, and contributing to testing, deployment, and architectural decisions in a fast-paced environment. The role requires on-site proximity to the San Francisco Peninsula and offers $70–$80/hour compensation. 🗂️ Requirements: Bachelor's Degree, Within 1-hour commuting distance to San Francisco Peninsula, 3–5 years professional software development experience, Strong proficiency in Python, Experience with Django or Flask or FastAPI, Experience building RESTful or GraphQL APIs, Understanding of data structures, algorithms, OOP, Experience with relational or NoSQL databases, Experience with Git, Familiarity with CI/CD pipelines, Working knowledge of AWS or GCP or Azure, Ability to write unit and integration tests 📃 Skills: Python, Django, Flask, FastAPI, REST, GraphQL, PostgreSQL, MySQL, MongoDB, Git, CICD, AWS, GCP, Azure, OOP, Algorithms, DataStructures, NoSQL, Testing, SAS 🏢 Description: About The Role We are seeking a mid-level Software Engineer with strong Python experience to join our growing engineering team. You will design, build, and maintain scalable applications and services, collaborate cross-functionally, and help drive best practices in coding, testing, and deployment. This role is ideal for an engineer who is comfortable working in fast-moving environments and is passionate about building high-quality software.This is a 1099 independent contractor position. Key Responsibilities Design, develop, and maintain backend services, APIs, and data pipelines using Python. Migrate and convert existing SAS code to Python, ensuring functionality and performance parity. Collaborate with product managers, designers, and fellow engineers to define requirements and deliver solutions. Write clean, maintainable, and well-tested code. Participate in code reviews and provide constructive feedback. Debug, troubleshoot, and improve application performance and reliability. Contribute to architectural discussions and implementation strategies. Help automate workflows and improve development processes. Maintain documentation of systems, workflows, and features. Support production systems and participate in on-call rotations (if applicable). Required Qualifications: Bachelor's Degree Candidates must be based within 1 Hr. commuting proximity to our office in the San Francisco Peninsula 3–5 years of professional software development experience. Strong proficiency in Python and familiarity with frameworks such as Django, Flask, or FastAPI. Experience building RESTful or GraphQL APIs. Solid understanding of software engineering fundamentals: data structures, algorithms, OOP. Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with version control (Git) and CI/CD pipelines. Working knowledge of cloud platforms (AWS, GCP, or Azure). Ability to write unit/integration tests. Excellent problem-solving and communication skills. Preferred: Experience with AWS services (Lambda, EC2, DynamoDB, S3, API Gateway, etc.). Experience with containerization (Docker, Kubernetes). Data pipeline or ETL experience. Experience with Terraform for infrastructure as code. Experience with monitoring and observability tools. Experience with SAS. Exposure to Agile/Scrum methodologies. Compensation: $70 - $80/HR

🏢 Summary: Lead Python Engineer role focused on building scalable AI-driven applications using Generative AI and Azure within an AI platform team. The position involves developing event-driven systems, implementing RAG architectures, and processing large-scale data for advanced ML and LLM-based solutions. The role combines hands-on development with technical leadership and system optimization. 🗂️ Requirements: Proficiency in Python, Experience leading and mentoring engineering teams, Hands-on experience with Generative AI and LLMs, Experience with Azure cloud services, Knowledge of event-driven architecture, Understanding of RAG architecture, Experience building scalable distributed systems 📃 Skills: Python, Azure, GenerativeAI, LLMs, RAG, MachineLearning, Cloud, EventDriven, APIs 🏢 Description: We are seeking a highly skilled Lead Python Engineer with experience in Generative AI and Azure, for our Client, a global leader in the area of banking, investment banking and financial services. You’ll be working in the AI platform team, which consists of data scientists, software engineers, and business analysts. They process huge amounts of data for multiple use cases, using both classic machine learning models and modern generative AI. They are quickly growing in the areas of chatbots and agents, and are technologically savvy and cloud native. This position offers a flex-hybrid model of work, with 3 days per week working from the office located in Krakow or Wroclaw, Poland. Responsibilities Develop Python applications addressing business needs and adhering to technical standards Collaborate with cross-functional teams to deliver high-quality software solutions Utilize Azure services and related technologies to build scalable systems Apply event-based design principles for improving application performance Incorporate expertise in RAG architecture to deliver innovative solutions Resolve issues and optimize software to ensure reliability and peak performance Stay informed about emerging technologies, trends, and best practices Requirements Proficiency in Python programming Experience mentoring and leading engineering teams effectively Background in Generative AI and LLMs Familiarity with Azure environments and cloud platforms Competency in event-based design techniques Knowledge of the foundational concepts of RAG architecture Skills in analytical problem-solving with close attention to detail Strong aptitude for communication and teamwork Nice to have Background in working within the financial services sector Qualifications in Azure or equivalent cloud expertise Flexibility to use multiple programming languages or frameworks Understanding of Agile workflows and DevOps principles We offer/Benefits 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: Mid-level Python engineering role focused on building data pipelines and analytical tooling for trading systems, working close to live trading infrastructure and high-resolution market data. The position involves developing libraries and monitoring frameworks to analyze execution quality and optimize trading performance in a high-performance environment. 🗂️ Requirements: 7+ years of professional Python development, Experience building libraries, data platforms, or analytical tooling, Experience with large-scale and time-series datasets, Strong knowledge of NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI practices, Familiarity with financial markets or electronic trading 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, Testing, Databases, Time-series 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Lead Python AI Engineer role focused on building and leading the development of a GenAI agent that leverages past RFP/RFI data to automate and accelerate responses. The position involves designing agentic AI solutions with LangChain/LangGraph, implementing RAG pipelines, and deploying scalable GenAI workloads on AWS. The engineer will guide the team technically while ensuring reliability, compliance, and production readiness of AI services. 🗂️ Requirements: 5+ years Python development experience, Recent experience with LLM or GenAI projects, At least 1 year leadership experience, Hands-on experience with LangChain or LangGraph, Experience designing agentic AI systems, Experience building RAG pipelines, Expertise in AWS for GenAI workloads, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Upper-Intermediate (B2) English proficiency 📃 Skills: Python, LangChain, LangGraph, AWS, LLM, GenAI, RAG, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, Serverless, Containers 🏢 Description: We are looking for a Lead Python AI Engineer who has hands-on experience with agentic AI frameworks (LangChain, LangGraph, etc.) and knows how to run GenAI workloads on AWS. You will join the team building a GenAI agent that learns from past RFP/RFI responses and helps teams answer new requests faster. Responsibilities Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless functions, or managed AI services Instrument logging, monitoring, and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science, and business teams to make sure the agent solves real problems Document code, APIs, and deployment steps so others can maintain and extend the solution Work within an Agile team and contribute to planning, demos, and retros Lead and technically guide the team Requirements 5+ years of Python development experience, with a recent focus on LLM or GenAI projects At least 1 year of relevant leadership experience Hands-on experience with LangChain, LangGraph, or comparable agent frameworks Expertise in Amazon Web Services for running GenAI workloads Understanding of agentic design patterns and how to wire tools, planners, and memory together Knowledge of vector databases, embeddings, and prompt engineering Proficiency in Docker, Git-based CI/CD, and automated testing Skills in leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits 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: Mid-Level Python Engineer role focused on building and optimizing data pipelines and analytical frameworks for trading systems in a high-performance, live market environment. The position involves processing large-scale trading data, improving execution quality, and supporting real-time monitoring within the trading stack. This is an on-site opportunity in Wroclaw with direct impact on trading efficiency and market transparency. 🗂️ Requirements: 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tooling, Strong experience with large-scale and time series datasets, Proficiency with NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI, Fluent English, Legal right to work in the European Union 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, C, C++, Rust 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER

🏢 Summary: Senior Python Engineer role focused on building and maintaining Python applications for AI and automation use cases in the financial domain. The position involves developing data pipelines, collaborating on machine learning model lifecycle, and delivering scalable solutions within a cross-functional team. Hybrid work model with office presence in Wroclaw three days per week. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn), Solid understanding of linear algebra, probability, statistics, calculus, Practical experience with Pandas and NumPy, Knowledge of supervised, unsupervised, and reinforcement learning algorithms, Experience with debugging, testing, and Git-based version control 📃 Skills: Python, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Git, AI, ML, NLP, ComputerVision, C++, Java, R 🏢 Description: We are seeking a skilled Senior Python Engineer to join a Project for our Client, a global leader in the area of banking, investments and financial services. This position offers a hybrid model of work, with 3 days per week working from the office located in Wroclaw. Responsibilities Build and maintain Python applications supporting AI and automation use cases Develop data preprocessing, transformation, and feature engineering pipelines Collaborate on training, evaluating, and deploying machine learning models Implement best practices in testing, version control, and code quality Work within a cross-functional POD to deliver scalable, reliable solutions Requirements Strong proficiency in Python Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) Solid understanding of linear algebra, probability, statistics, and calculus Practical experience with Pandas, NumPy, and data manipulation workflows Familiarity with ML algorithms (supervised, unsupervised, reinforcement learning) Exposure to deep learning, NLP, or computer vision is beneficial Strong debugging, testing, and Git-based version control skills Nice to have C++, Java or R Language experience We offer/Benefits 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.