Software Engineer (Agent Development)

🏢 Summary: Senior Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position involves driving AI-powered solutions, shaping cloud-native architecture on AWS, and solving complex scalability and performance challenges across distributed systems. The role operates across multiple teams, influencing technical strategy and mentoring senior engineers. 🗂️ Requirements: 8+ years of software engineering experience, Experience designing and delivering large-scale SaaS applications, Experience with complex distributed systems, Strong backend expertise in Python and/or PHP, Strong system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS cloud environments, Experience with CI/CD pipelines and observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position drives cross-team architectural decisions, scalability improvements, and adoption of AI-powered and LLM-based solutions. It emphasizes system-level impact, mentorship of senior engineers, and cloud-native platform evolution. 🗂️ Requirements: 8+ years software engineering experience, Experience designing large-scale SaaS applications, Experience with distributed systems, Strong backend expertise in Python or PHP, Solid system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS environments, Experience with CI/CD pipelines, Experience with observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: The offer is for a seasoned Software Engineer to build and evaluate AI agents within an enterprise platform that automates complex business workflows. The role focuses on backend development, creating self-service tools for non-technical users, and establishing quality standards and evaluation frameworks for AI agents. It involves developing integrations with corporate systems and refining prompts and ontologies to ensure high-quality agent performance. 🗂️ Requirements: 4+ years experience as Software Engineer, Strong backend development experience, Hands-on experience with Python, Experience with AWS, Experience developing and deploying AI agents, Experience building integrations with enterprise systems, Ability to design and maintain evaluation frameworks, English proficiency (written and spoken) 📃 Skills: Python, AWS, SQL, Bedrock, AI, APIs, Backend, Cloud 🏢 Description: Team Summary The team is responsible for developing and maintaining an enterprise AI agent platform that enables teams across the organization to automate complex business workflows using autonomous AI agents. Key focus areas include: developing and evaluating AI agents for priority business use cases, establishing quality standards and reusable components for agent development, and creating self-service tools that allow non-technical teams to build and configure agents independently. Role Summary We are looking for a seasoned Software Engineer with proven expertise in backend development and a focus on AI agents. In this role, you will develop and evaluate AI agents that automate key business workflows, build self-service tools that enable non-technical teams to create and configure agents independently, and establish quality baselines across multiple business use cases. Responsibilities and Duties Develop, test, and deploy AI agents Rapidly prototype new agents and validate quality iteratively with business teams Build and maintain an agent evaluation framework Create self-service tools and reusable templates that enable non-technical teams to launch agents independently Develop integrations and connectors to link AI agents with corporate systems Design and refine prompts, contexts, and ontologies for agent quality Qualifications and Skills 4+ years of experience as a Software Engineer Hands-on experience with Python Experience with cloud platforms (AWS) Good written and spoken English Nice to have Proven experience automating business workflows with AI Agents Experience with agent evaluation and observability tools Previous experience with Amazon Bedrock or similar Knowledge of SQL We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member Competitive salary packages with performance-based annual reviews Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes Comprehensive private medical insurance to supplement your standard NFZ coverage

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 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 Software Engineer (Python – GenAI) role focused on building and deploying AI-driven applications using AWS and Large Language Models. The position involves developing backend services, APIs, and microservices while ensuring high standards of security, testing, and CI/CD within an Agile environment. Hybrid work model with regular collaboration in Scrum teams. 🗂️ Requirements: Strong Python backend development, Hands-on experience with AWS services (Bedrock, DynamoDB, OpenSearch, CloudWatch, Step Functions), Practical knowledge of Generative AI and LLM technologies, Experience building REST APIs, Experience developing microservices, Understanding of CI/CD pipelines in AWS, Knowledge of DevOps practices, Experience working in Agile/Scrum teams 📃 Skills: Python, AWS, Bedrock, DynamoDB, OpenSearch, CloudWatch, StepFunctions, LLM, GenAI, REST, Microservices, CICD, DevOps, Agile 🏢 Description: Location: hybrid model. For candidates based in Warsaw, Gdańsk , or nearby areas, we require office presence once per week . For candidates located in other regions, office visits are required once per month (for workshops and team meetings). Team Structure: Agile/Scrum teams Contract B2B Rates depending on the years of the experience: 4-7 yrs: 147 PLN/h 7-10 yrs: 164 PLN/h 10+ yrs: 178 PLN/h Software Engineer (Python – GenAI) role is to contribute to the development and deployment of AI-driven applications, focusing on leveraging modern cloud services and generative AI technologies to provide innovative solutions for the organization. Main Responsibilities: Creating, developing, and deploying AI-based applications using AWS services. Developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases. Building and maintaining APIs and microservices to efficiently serve solutions to customers. Ensuring all AI solutions adhere to security, development, and governance standards. Writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization). Creating clear, concise technical documentation for developed components. Working in Agile/Scrum teams to deliver high-quality applications. Key Requirements: Fluency in English. Strong command of Python for backend development. Hands-on experience with AWS services, including Amazon Bedrock, DynamoDB, OpenSearch, CloudWatch, and Step Functions. Understanding of Generative AI and LLM technologies. Proven experience in developing and maintaining RESTful APIs and microservices. Solid understanding of CI/CD pipelines and DevOps best practices within the AWS environment. Ability to thrive in an Agile environment and work effectively with multidisciplinary teams. Nice to Have: Experience working with vector databases. Knowledge of prompt engineering. Experience working with Azure services, including Azure VM, Azure DevOps, Azure Blob Storage, Cosmos DB, Azure Functions, Azure AI Search, and others.

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

🏢 Summary: Senior AI-first Engineer role focused on building and modernizing full-stack systems using advanced AI-assisted development workflows. The position involves designing scalable architectures, delivering production-grade .NET and React solutions, and orchestrating multiple AI agents for parallel task execution. Work spans distributed systems, cloud environments, and high-quality engineering practices in client-facing projects. 🗂️ Requirements: Hands-on experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor or equivalent), Ability to build custom AI skills and orchestrate multiple AI agents in parallel, Strong prompt engineering with critical evaluation of AI-generated output, Production experience with .NET and C# for REST APIs and middleware, Deep knowledge of OAuth2, OpenIDConnect, and JWT, Strong proficiency in JavaScript and TypeScript, Minimum 2 years production experience with React, Experience with state management, asynchronous patterns, and frontend testing, Experience designing monolith, microservices, and distributed architectures, Knowledge of DDD, CQRS, EventSourcing, and event-driven systems, Experience with message brokers (Kafka, RabbitMQ, AzureServiceBus or similar), Hands-on experience with Docker and knowledge of Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP), Strong knowledge of SQL and ORM tools 📃 Skills: C#, .NET, REST, OAuth2, OpenIDConnect, JWT, JavaScript, TypeScript, React, DDD, CQRS, EventSourcing, Kafka, RabbitMQ, AzureServiceBus, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, SQL, NoSQL, Python, Java, Node.js, Copilot, Claude, Cursor 🏢 Description: We are looking for a Senior AI-first Engineer who combines deep technical expertise with a genuine, hands-on approach to AI-assisted development. You will work across varied client engagements — from modernizing legacy systems to architecting new products — and are expected to contribute at a high level regardless of project context. The ideal candidate has built a real, personalized AI development workflow — including custom skills, reusable prompt templates, and project-level instructions — and continues to refine it. Out-of-the-box tool usage is not sufficient for this role. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. Responsibilities Design, develop, and maintain full-stack features with high standards of quality, performance, and reliability Apply AI tools throughout the workflow: generation, refactoring, review, testing, and research Contribute to architectural decisions — technology selection, system design, and trade-off analysis Conduct thorough code reviews and uphold engineering best practices across the team Identify risks, bottlenecks, and security concerns proactively and propose solutions Work directly with clients in English — requirements clarification, technical discussions, progress updates Mentor junior and mid-level engineers through day-to-day guidance and knowledge sharing Stay current with AI tooling developments and contribute findings to the broader team Requirements Hands-on experience with Claude Code, GitHub Copilot, Cursor, or equivalent AI coding assistants Ability to create custom skills and sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Strong prompt engineering skills; able to produce reliable, high-quality output and critically evaluate AI-generated results Production-grade .NET / C# (REST APIs, middleware, dependency injection) with solid understanding of OAuth 2.0, OpenID Connect, and JWT Deep proficiency in JavaScript and TypeScript 2+ years of hands-on production experience with React (highly preferable) and/or Angular Strong grasp of state management, asynchronous patterns, and frontend testing Confident designing systems across monoliths, microservices, and distributed architectures Working knowledge of DDD, CQRS, Event Sourcing, and event-driven systems, including message brokers (Kafka, RabbitMQ, Azure Service Bus, or similar) Hands-on use of Docker and working knowledge of Kubernetes, along with CI/CD pipelines (GitHub Actions, Azure DevOps, or similar) Experience with cloud platforms (Azure, AWS, or GCP) and observability practices (structured logging, distributed tracing, alerting) Solid background with SQL databases and ORMs; familiarity with NoSQL is a plus Additional exposure to Python, Java, or Node.js is highly desirable Clear communication skills in English (B2+), both written and spoken; comfortable in client-facing environments Salary ranges B2B 135 - 195 PLN/ hour EC 17000 - 24000 PLN/ month

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

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