Python / AI Developer

🏢 Summary: Backend Developer role focused on building and maintaining scalable Java backend services and APIs with an AI-first engineering workflow. The position uses tools such as GitLab Duo and Claude Code to accelerate development, testing, debugging, reviews, and CI/CD issue resolution. 🗂️ Requirements: 4+ years of backend development experience, Java experience, Daily use of AI-assisted development tools, API and production-scale Java microservices development, Automated unit and integration testing experience, Functional and business-context analysis before solution design, English communication skills, Problem-solving and attention to detail, Collaboration and multi-priority management 📃 Skills: Java, APIs, Microservices, Testing, GitLab, Claude, Copilot, CI/CD, Quarkus, LLMs, RAG, MCP 🏢 Description: Role Overview We are looking for a Backend Developer with experience in Java, Quarkus, and AI development to join our team. AI will be a core part of your daily workflow, using tools such as GitLab Duo and Claude Code to accelerate coding, testing, and code reviews. You will help the team deliver backend tasks faster and with higher quality, bringing an AI-first mindset to how we build, test, and release backend services. Responsibilities Design, build and maintain backend services and APIs using Java and Quarkus. Use AI tools such as GitLab Duo and Claude Code as part of your daily workflow to accelerate coding, testing, debugging, and code review. Solve day-to-day backend team tasks – features, bug fixes, refactors, integrations – leveraging AI to move faster without compromising quality. Write automated tests (unit and integration) for backend services, using AI to speed up test creation and improve coverage. Participate in code reviews – both AI-assisted and with teammates – ensuring code quality and adherence to our engineering standards. Troubleshoot and resolve issues in CI/CD pipelines, using GitLab Duo to speed up root-cause analysis. Collaborate closely with other backend engineers, QA, and product to deliver reliable, well-tested software. Key Requirements 4+ years of hands-on experience in backend development. Experience with Java. (Quarkus is a plus) Practical experience using AI-assisted development tools such as GitHub Copilot, GitLab Duo, Claude Code, or similar as part of a daily engineering workflow. Experience designing and building APIs and Java-based microservices that run reliably at scale in production. Experience writing automated unit and integration tests for backend systems. Ability to understand the functional and business context of a feature before designing the technical solution. Curiosity and willingness to experiment with new AI tools and integrate them responsibly into day-to-day development practices. Comfortable working in a fast-moving environment where AI-assisted development practices are still evolving. Strong attention to detail, critical thinking, and problem-solving skills. Good verbal and written communication skills in English. Collaborative, adaptable, and able to manage multiple priorities effectively. Nice to Have Experience with LLM-based integrations, Retrieval-Augmented Generation (RAG), or agent orchestration workflows. Familiarity with MCP (Model Context Protocol) or similar tool/context integrations that connect AI assistants to internal systems. Exposure to AI-native development practices beyond code completion, such as spec-driven development frameworks, custom prompt or skill libraries, and automation workflows. Mindset Pragmatic – knows when to move fast and when to invest in more solid foundations. Structured thinker – reasons about a problem before diving into code. Autonomous – takes ownership of tasks and knows when to ask for help. AI-enabled – uses modern AI tools to boost speed and quality, without losing engineering judgment. Collaborative – works well with other engineers, QA, and product, and enjoys building with context.

🏢 Summary: Backend Engineer role focused on building and operating the AI inference and orchestration systems behind a production AI assistant. The position emphasizes low-latency, high-throughput APIs, distributed-system reliability, observability and performance optimization for mobile, desktop and machine-learning integrations. Remote-first collaboration is available for a candidate working from Poland, with base salary and equity assessed individually. 🗂️ Requirements: Production backend engineering experience, High-throughput, low-latency service experience, AI inference familiarity: LLMs, embeddings, multimodal models, Distributed-systems debugging under load, Production observability and incident-management knowledge, Performance-optimization expertise, Independent delivery in ambiguous environments, Working from Poland, Working-hours overlap with immediate team 📃 Skills: Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, Embeddings, SQL, NoSQL, Kubernetes, Docker, APIs, Caching, Batching, Streaming, Logging, Alerting 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions. Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience. You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications. What you will do Build and operate backend systems serving AI-powered functionality in production. Design inference pipelines, orchestration layers and service boundaries around Machine Learning models. Take ownership of production monitoring, logging, alerting and incident response. Optimize latency and throughput across inference, caching, batching and streaming. Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems. Diagnose distributed-system issues under production load. Continuously improve system performance and reliability using real-world production signals. What we are looking for Strong backend engineering fundamentals supported by experience with production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models. Confidence debugging distributed systems under load. Understanding of production observability, incident management and performance optimization. A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration. Ability to work independently and make pragmatic engineering decisions in an ambiguous environment. What success looks like Backend systems reliably handle production AI traffic at scale with low latency and high throughput. APIs remain stable, clear and easy to integrate with frontend, mobile and Machine Learning systems. Production incidents are detected quickly, diagnosed effectively and resolved with minimal impact on users. System performance and reliability improve continuously based on real-world usage and production data. Technology stack Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with backend, Machine Learning, mobile and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend services, and enterprise integrations. The position leads AI agent and LLM solution development, technical standards, mentoring, and cloud-based automation delivery. 🗂️ Requirements: Degree in Computer Science, AI, Data Science, or similar field, 8+ years of software engineering experience, 5+ years of production Python backend development, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG, and MCP, Experience with AWS or Azure, storage, databases, and AI services, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience, Fluent Polish and English at B2 minimum, Willingness to travel internationally up to 10% 📃 Skills: Python, AWS, Azure, RAG, MCP, Kubernetes, APIs, Databases, Containers, LLMs 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: B2B role for a senior full-stack engineer building scalable client business applications with React, Next.js, TypeScript, Node.js, and PostgreSQL. The role combines architecture, frontend and backend delivery, automated quality practices, and daily AI-assisted engineering with Claude/Codex. It offers 140–180 PLN/h net + VAT and work across multiple client projects. 🗂️ Requirements: 5+ years of commercial web-application development experience, JavaScript, TypeScript, React, Next.js and Node.js experience, Reusable AI workflows, prompts, skills or agentic solutions experience, MCP, tool-integration or multi-agent workflow knowledge, Software architecture and scalable system-design knowledge, Ability to translate business requirements into scalable technical solutions, Ability to review and validate AI-generated code, Independent work, priority management and context switching, Advanced English communication skills 📃 Skills: JavaScript, TypeScript, React, Next.js, Node.js, PostgreSQL, Playwright, Claude, Codex, MCP 🏢 Description: We’re a software house with a team of 25 professionals distributed across three countries. We focus on long-term projects and believe great software comes from ownership, strong collaboration with clients, and developers who care about the quality and business impact of their work. At the.good.code; successful software starts with understanding the business problem first. We work closely with our clients, use AI as an engineering tool rather than a shortcut, and improve the way software is designed and delivered. We focus on long-term collaboration and are looking for people who are curious, open-minded, and motivated to grow together with the business and the products we build. Interested to hear about the projects? You'll join a team building modern business applications powered by AI-assisted engineering. Your work will combine product thinking, software architecture, and collaboration with clients. Rather than focusing only on writing code, you'll use AI tools to design solutions, prepare specifications, review generated code, and help deliver scalable, production-ready software. You'll work across multiple client projects simultaneously, so being comfortable with context switching and managing priorities is an important part of this role. Tech stack: TypeScript, JavaScript, React, Next.js, Node.js, PostgreSQL, Playwright, AI: Claude, Codex, MCP, agentic workflows & reusable AI skills Salary: 140-180 PLN/h net + VAT / B2B Curious about your responsibilities? You will be: working in clients' teams as the equal team member building and developing frontend and backend features using React, Next.js, TypeScript, and Node.js designing application architecture, reusable modules and integration patterns translating business requirements into clear technical specifications for AI coding agents using AI coding agents (Claude/Codex) as part of your daily engineering workflow reviewing, validating, and improving AI-generated code building and improving AI-assisted engineering workflows, including reusable skills, prompts and testing practices contributing to software quality through automated testing, code reviews, and AI-assisted validation taking ownership of technical solutions within your area of responsibility contributing to open source libraries sharing knowledge and helping grow AI engineering practices within the the.good.code; community Ready to apply? First, check if you have: 5+ years of commercial experience building web applications experience with JavaScript, TypeScript, React, Next.js, and backend development using Node.js experience building reusable AI workflows, prompts, skills, or agentic solutions understanding of concepts such as MCP (Model Context Protocol), tool integrations, or multi-agent workflows the ability to translate business requirements into scalable technical solutions understanding of software architecture and scalable system design ability to review and validate AI-generated code rather than relying on it blindly product mindset - you understand the business context behind the features you build and actively look for better solutions ability to work independently, manage priorities, and switch context when needed critical thinking, ownership, and proactive attitude advanced English communication skills (you'll use English every day within the team and directly with international clients) We appreciate, if you have: experience building AI-powered developer tools or internal engineering platforms familiarity with Playwright or other automated testing frameworks contributions to open-source projects or active participation in technical communities willingness to travel occasionally for client workshops We value engineers who : take ownership of their work and deliver what they commit to work independently and manage their time without micromanagement care about quality instead of rushing delivery think about value and impact, not only implementation communicate clearly and work well in a remote environment raise issues early and treat feedback as part of growth enjoy collaboration and maintain a positive team attitude Keen to hear about our recruitment process? Here you go: The application form - fill it out. We really read it! 60-minute HR interview to learn about your experience and motivation 90-minute tech interview with our developers to check your practical skills 45-minute final interview with one of our Founders References check Welcome on board!

🏢 Summary: Lead Python Developer role focused on building scalable, cloud-native backend services for an AI-driven industrial automation platform. The position covers FastAPI APIs, real-time AI recommendation streaming, enterprise integrations, Google Cloud Spanner persistence, and technical leadership in a Docker/Kubernetes production environment. 🗂️ Requirements: 5+ years of backend software development experience, Strong Python expertise, FastAPI or similar modern framework experience, Google Cloud Platform experience, Docker and Kubernetes experience, CI/CD pipeline experience, Microservices architecture expertise, Asynchronous programming expertise, SSE or WebSockets streaming experience, REST and OpenAPI standards knowledge, Strong SQL skills, Relational or cloud database experience, Secure API development experience, Authentication and authorization experience, Auditing and rate-limiting experience 📃 Skills: Python, FastAPI, GCP, Docker, Kubernetes, GitHubActions, CloudBuild, Microservices, Asynchronous, SSE, WebSockets, REST, OpenAPI, SQL, Spanner, AuthN, AuthZ, Auditing, VertexAI, LangGraph, MCP, RAG 🏢 Description: We are seeking a Lead Python Developer to drive the development of core backend services powering an innovative, AI-driven platform for industrial automation and enterprise operations. In this role, you will architect and build scalable APIs, design resilient cloud-native services on Google Cloud Platform, orchestrate AI agents, and integrate with complex enterprise systems. You will work closely with cross-functional Frontend, AI/ML, UX, and Product teams to deliver a highly reliable, production-grade ecosystem. Essential functions Design, develop, and maintain high-performance backend services using Python and FastAPI . Architect and implement robust RESTful APIs and real-time streaming mechanisms via Server-Sent Events (SSE) for AI recommendations. Build secure, resilient integrations with enterprise systems (e.g., PLM, SFC, Radix) with built-in retries, rate limiting, and fallback logic. Develop data persistence services utilizing Google Cloud Spanner . Orchestrate services connecting frontend applications with AI agents, retrieval systems (RAG), and backend workflows. Lead architecture and code reviews, establish contract testing/automated API validation, and ensure operational readiness in Docker/Kubernetes environments. Qualifications 5+ years of experience in backend software development with strong expertise in Python . Hands-on experience with FastAPI (or similar modern frameworks). Solid experience with Google Cloud Platform (GCP) , containerization ( Docker , Kubernetes ), and CI/CD pipelines (GitHub Actions / Cloud Build). Deep understanding of microservice architecture, asynchronous programming, real-time data streaming (SSE/WebSockets), and REST/OpenAPI standards. Strong SQL skills and experience with relational/cloud databases (e.g., Google Cloud Spanner ). Proven background in building secure APIs (AuthN/AuthZ, auditing, rate limiting). Would be a plus Familiarity with AI orchestration frameworks and tools ( Vertex AI , LangGraph , MCP , RAG ). Domain experience in manufacturing, industrial automation, electronics repair, or integration with PLM/MES/ERP/Shop Floor systems. We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Join a remote B2B team as a Python Engineer building and deploying AI-driven LLM and NLP solutions. The role combines hands-on development of RAG, vector-search, and AI-agent workflows with client collaboration, technical decision-making, and product impact. 🗂️ Requirements: 5+ years of experience in software engineering, AI, ML, or a related field, Production experience with LLMs or NLP, Experience with RAG, vector search, or agent-based LLM architectures, Strong Python skills, Experience deploying models or pipelines with FastAPI, Strong communication skills, Polish at B2+ level, English at B2+ level 📃 Skills: Python, LLMs, NLP, RAG, FastAPI, NumPy, Pandas, Scikit-learn, Vector-search, Agents 🏢 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 :-)