Senior Python AI Developer

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

🏢 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: Senior Full-Stack Engineer role focused on building AI-powered products and internal platforms using Python and modern frontend frameworks. The position involves developing cloud-native systems, contributing to agentic AI initiatives, and delivering secure, production-grade solutions handling sensitive data. You will work in agile teams to create end-to-end features across backend, frontend, cloud, and AI components. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, Minimum 7 years of software development experience, Senior-level experience in large tech environment, Strong backend experience with Python and FastAPI in production, Solid frontend experience with Vue or other modern JavaScript framework, Hands-on experience with AWS, Azure, or GCP, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production, Understanding of agentic AI concepts or architectures, Knowledge of engineering best practices and secure coding 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, AzureAISearch, CrewAI, MicrosoftAgentFramework, AWSAgentCore, A2A, MCP 🏢 Description: We’re looking for a Senior Full‑Stack 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) and modern frontend frameworks, with a preference for Vue, though 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. Solid frontend experience with Vue or another modern JavaScript framework. 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. 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. 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. Why join You’ll work on real AI products, help shape an evolving agentic ecosystem, and contribute to a modern engineering environment where innovation meets strong security and compliance standards. Your work will directly influence how AI is used across the organization.

🏢 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 Software Engineer role focused on designing and delivering new features and PoCs end-to-end on a large-scale SaaS and data platform. The position emphasizes backend development in Python, extending a mature system, and leveraging AI/LLM tools to accelerate development and improve engineering workflows. Fully remote with high ownership and impact on product direction. 🗂️ Requirements: 7+ years of Software Engineering experience, Strong experience with Python, Experience with Django, Experience building large-scale production systems, Experience designing and maintaining REST APIs, Strong understanding of distributed systems, Strong understanding of backend architecture, Daily practical use of AI tools and LLMs in development workflows, Experience with cloud environments, Ability to independently design and deliver end-to-end solutions, Professional English proficiency 📃 Skills: Python, Django, REST, API, SaaS, LLM, AI, Cloud, DistributedSystems, Backend 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a product-driven Senior Software Engineer who thrives in fast-paced environments and enjoys turning ideas into practical, user-focused solutions. In this role, you will independently design and deliver new features and PoC end-to-end on top of an existing large-scale SaaS and data platform. Rather than working in a purely greenfield environment, you will extend and evolve a mature platform with new capabilities, focusing on speed, usability, and real customer value. A key part of this role is the daily use of AI and LLM-based tools to accelerate development workflows, prototyping, research, testing, and delivery. We are looking for someone who not only uses AI tools effectively but also understands how to integrate AI reasoning and automation into modern software engineering practices. Responsibilities Independently design, prototype, and deliver new features and PoCs end-to-end Translate product ideas into scalable and user-focused backend solutions Validate technical feasibility and make pragmatic architectural decisions Use AI tools, coding copilots, and LLM-based workflows to accelerate development, experimentation, and delivery Build and maintain scalable backend services and REST APIs using Python (preferably Django) Collaborate closely with Product, Design, and Engineering teams to shape and refine new features Contribute to engineering quality through code reviews, technical guidance, and knowledge sharing Continuously explore and introduce practical AI-driven workflows that improve engineering productivity and delivery speed Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 7+ years of experience as a Software Engineer Strong experience with Python and preferably Django Experience building and maintaining large-scale production systems and REST APIs Strong understanding of distributed systems and modern backend architecture Demonstrated daily use of AI tools and LLMs in real engineering workflows (e.g. code generation, prototyping, refactoring, testing, documentation, automation) Experience integrating with complex platforms and cloud environments Ability to independently deliver solutions with minimal supervision Strong product mindset and focus on solving real user problems Excellent communication and collaboration skills across Product, Design, and Engineering teams Curiosity, ownership, and passion for learning and experimenting with new technologies Professional level of English Nice to Have Experience mentoring or coaching engineers Experience working with data products and related scalability challenges Experience promoting AI-driven engineering practices and helping teams adopt modern AI workflows Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Senior Python Developer role focused on building and scaling the back-end of an AI-driven quantitative investment platform using FastAPI and AWS. The position involves developing secure, high-performance RESTful services and contributing to a full-stack AI-native feature team. The goal is to deliver a robust, scalable system supporting intelligent and transparent investment solutions. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field or equivalent experience, 3+ years of back-end development experience, Proven experience with Python, Commercial experience with FastAPI, Experience building RESTful APIs, Strong knowledge of server-side architecture, Experience with database management, Hands-on experience with AWS, Knowledge of security and data protection practices, Experience with Git 📃 Skills: Python, FastAPI, AWS, REST, API, Git, SQL, GenAI 🏢 Description: We are looking for a dynamic, hands-on Senior Python Developer to join a full-stack AI native feature team for building a cutting-edge quantitative investment platform. The project aims to deliver a groundbreaking, AI-driven investment ecosystem that revolutionizes the entire investment process through an intuitive and human-centric design approach. This initiative transcends mere digitization, aiming to redefine investment decision-making with systematic, transparent and intelligent solutions. The platform is designed with the versatility to cater to a wide array of users and offers transformative capabilities for the investment landscape. Responsibilities Design, develop, and maintain robust and scalable back-end systems using FastAPI and Python Implement security and data protection measures to ensure the integrity and confidentiality of data Optimize applications for maximum speed and scalability Develop and maintain RESTful APIs for seamless communication between different components of the application Conduct code reviews and provide mentorship to ensure code quality and adherence to best practices Troubleshoot and resolve complex technical issues and bugs in a timely manner Stay up-to-date with the latest industry trends and technologies to continuously improve development processes and system performance Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience 3+ years of proven experience as a Back-End Developer with a focus on FastAPI and Python Strong understanding of server-side logic and database management Expertise in Amazon Web Services Knowledge of FastAPI and REST API Background in Gen AI Assisted Development Familiarity with version control systems such as Git Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work independently and as part of a team in a fast-paced environment B1+ English level proficiency Nice to have Skills in Cursor Proficiency in ReactJS 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: The role involves developing and maintaining backend components in Python while supporting the implementation of AI-driven features within products. The position focuses on integrating AI/ML components, working with data, and contributing to simple model development and backend services. It is suited for candidates with commercial Python experience and initial hands-on exposure to AI/ML technologies. 🗂️ Requirements: Minimum 2 years of commercial experience with Python, Hands-on experience with AI/ML features, Experience working with APIs, Experience developing backend services, Understanding of software development best practices 📃 Skills: Python, AI, ML, APIs, TensorFlow, PyTorch, scikit-learn, OpenAI, LLM, NLP, AWS, GCP, Azure 🏢 Description: We are looking for a Junior/Regular AI Engineer to join our team and support the development of AI-powered features within our products. This role is ideal for someone with solid Python skills and initial hands-on experience working with AI/ML components. Responsibilities Develop and maintain backend components using Python Support the implementation of AI-driven features and capabilities within products Collaborate with product and engineering teams to integrate AI solutions Work with data and assist in building simple ML/AI models or integrations Contribute to code quality, testing, and documentation Requirements Minimum 2 years of commercial experience with Python Initial hands-on experience with AI/ML features (e.g. working with models, APIs like OpenAI, basic ML pipelines, etc.) Understanding of software development best practices Experience working with APIs and backend services Good problem-solving skills and willingness to learn in the AI space Nice to have Experience with libraries/frameworks such as: TensorFlow, PyTorch, scikit-learn Familiarity with LLMs, NLP, or Generative AI Experience with cloud platforms (AWS, GCP, Azure) Basic knowledge of data engineering concepts We offer Opportunity to work on real AI-driven products Exposure to modern AI technologies and tools Supportive team and learning environment

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

🏢 Summary: Senior Python Developer role in a full-stack AI-native team building an advanced quantitative investment platform. The position focuses on designing and developing scalable back-end systems using FastAPI and Python, with strong emphasis on security, performance, and AWS-based infrastructure. The project delivers an AI-driven investment ecosystem aimed at transforming decision-making through systematic and intelligent solutions. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering or related field or equivalent experience, 3+ years of back-end development experience with Python, Commercial experience with FastAPI, Strong knowledge of server-side logic, Experience with database management, Expertise in AWS, Experience building REST APIs, Experience with Git, B1+ English proficiency 📃 Skills: Python, FastAPI, AWS, REST, Git, SQL, GenAI, ReactJS, Cursor 🏢 Description: We are looking for a dynamic, hands-on Senior Python Developer to join a full-stack AI native feature team for building a cutting-edge quantitative investment platform. The project aims to deliver a groundbreaking, AI-driven investment ecosystem that revolutionizes the entire investment process through an intuitive and human-centric design approach. This initiative transcends mere digitization, aiming to redefine investment decision-making with systematic, transparent and intelligent solutions. The platform is designed with the versatility to cater to a wide array of users and offers transformative capabilities for the investment landscape. Responsibilities Design, develop, and maintain robust and scalable back-end systems using FastAPI and Python Implement security and data protection measures to ensure the integrity and confidentiality of data Optimize applications for maximum speed and scalability Develop and maintain RESTful APIs for seamless communication between different components of the application Conduct code reviews and provide mentorship to ensure code quality and adherence to best practices Troubleshoot and resolve complex technical issues and bugs in a timely manner Stay up-to-date with the latest industry trends and technologies to continuously improve development processes and system performance Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience 3+ years of proven experience as a Back-End Developer with a focus on FastAPI and Python Strong understanding of server-side logic and database management Expertise in Amazon Web Services Knowledge of FastAPI and REST API Background in Gen AI Assisted Development Familiarity with version control systems such as Git Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work independently and as part of a team in a fast-paced environment B1+ English level proficiency Nice to have Skills in Cursor Proficiency in ReactJS 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: Senior Python Developer role within an AI-native full-stack team building a cutting-edge quantitative investment platform. The position focuses on developing scalable back-end systems and RESTful APIs using FastAPI and Python, ensuring security, performance, and cloud integration. The project delivers an AI-driven, human-centric investment ecosystem transforming decision-making processes. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering or related field or equivalent experience, 3+ years of back-end development experience with FastAPI and Python, Strong knowledge of server-side logic and database management, Expertise in Amazon Web Services, Experience with FastAPI and REST API development, Background in Gen AI assisted development, Proficiency with Git or other version control systems, B1+ English proficiency 📃 Skills: Python, FastAPI, REST, AWS, Git, GenAI, Databases 🏢 Description: We are looking for a dynamic, hands-on Senior Python Developer to join a full-stack AI native feature team for building a cutting-edge quantitative investment platform. The project aims to deliver a groundbreaking, AI-driven investment ecosystem that revolutionizes the entire investment process through an intuitive and human-centric design approach. This initiative transcends mere digitization, aiming to redefine investment decision-making with systematic, transparent and intelligent solutions. The platform is designed with the versatility to cater to a wide array of users and offers transformative capabilities for the investment landscape. Responsibilities Design, develop, and maintain robust and scalable back-end systems using FastAPI and Python Implement security and data protection measures to ensure the integrity and confidentiality of data Optimize applications for maximum speed and scalability Develop and maintain RESTful APIs for seamless communication between different components of the application Conduct code reviews and provide mentorship to ensure code quality and adherence to best practices Troubleshoot and resolve complex technical issues and bugs in a timely manner Stay up-to-date with the latest industry trends and technologies to continuously improve development processes and system performance Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience 3+ years of proven experience as a Back-End Developer with a focus on FastAPI and Python Strong understanding of server-side logic and database management Expertise in Amazon Web Services Knowledge of FastAPI and REST API Background in Gen AI Assisted Development Familiarity with version control systems such as Git Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work independently and as part of a team in a fast-paced environment B1+ English level proficiency Nice to have Skills in Cursor Proficiency in ReactJS 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.