Careers at InPost

Join our Global Network Analytics area This is a role for someone who enjoys working close to data, understands both technical quality and business context, and wants to have a real impact on how data is prepared, validated and used by analytical, reporting and product teams. As a (Senior) Data Developer you will help transform data into a trusted foundation for decision-making, reporting and automation. You will combine technical engineering skills with business understanding, data quality awareness and a critical approach to AI-supported work In this role, you will: Design, build and maintain ETL/ELT processes using SQL, PySpark and Python, including integration of data from different source systems. Develop data layers in Databricks, Data Lake and Delta Lake , including tables, views and data models used by analytical, reporting and automation solutions. Automate and orchestrate data loading and transformation processes to reduce manual work, improve repeatability and lower the risk of errors. Ensure data quality, consistency and reliability through validation rules, monitoring, alerting and incident diagnosis. Optimize SQL queries, Spark processes and data storage structures with a focus on performance, stability, scalability and processing costs. Provide reliable, ready-to-use data to analysts, Product Owners and other stakeholders as a foundation for analysis, reporting and automation Create and maintain technical documentation in Confluence, covering data processes, models, KPI logic, dependencies, data lineage and incident-handling procedures Use AI tools consciously as a work accelerator, while fully verifying generated code, configurations and documentation before implementation. What we are looking for At least 2 years of experience in Data Engineering, Analytics Engineering or data analysis, including experience in designing ETL/ELT processes and building data models or data layers for analytical purposes. Experience in maintaining production data processes, including monitoring, issue diagnosis and data quality assurance. Experience with cloud solutions, especially Microsoft Azure . Practical knowledge of SQL, Python, PySpark and Databricks . Understanding of Data Lake / Delta Lake architecture and data modelling principles. Practical experience with Git and Azure DevOps , including managing changes across Dev, Test and Prod environments. The ability to translate business requirements into technical solutions. Advanced English skills, enabling confident communication in an international environment. Analytical and logical thinking, attention to detail, proactivity and the ability to prioritize work under time pressure. Nice to have Experience working in a complex operational environment. Knowledge of dimensional modelling, including star schema, fact and dimension tables, data grain, and normalization or denormalization approaches for reporting and analytics. Knowledge of advanced Databricks and Delta Lake mechanisms. Experience with streaming technologies such as Kafka, Structured Streaming or Event Hubs . Familiarity with monitoring and alerting tools. Knowledge of data security, access control, metadata management and data lineage principles. Experience with Jira and Confluence . Certifications such as Microsoft Certified: Fabric Analytics Engineer DP-600 or Databricks Data Engineer / Analyst Associate . Why join InPost? Real ownership — your data products will directly influence strategic decisions Opportunity to cooperate in a diverse, international, and cross-functional environment alongside leading experts Space to experiment with new technologies — including AI tooling — and bring innovations into production Your impact will be visible immediately We offer B2B type of cooperation

InPost is one of Europe's largest out-of-home delivery networks, with a consumer app used by over 10 million people. We are consolidating our separate market applications into OneApp: one application on one codebase for the whole InPost group across Europe and beyond, with Italy live and Iberia in flight. This Staff role exists to make that happen. It sits above and between teams rather than inside one, setting iOS technical direction across several mobile teams and working across domain boundaries with product, backend, platform, QA and the other mobile disciplines. It does not own a feature backlog. It owns the decisions every team's code has to live with. Must have 8+ years production iOS. Staff or principal scope across multiple teams, or technical lead of a whole iOS platform or several parallel iOS projects. Multi-market or white-label apps. Proven record of shipping a single codebase across several markets or brands, with the variant, configuration and release complexity that brings. Mobile architecture. MVVM, Clean Architecture, SOLID. Unidirectional and composable architectures, Apple's own or TCA. Deliberate, justified choice per problem. Tuist is a plus. Modularisation and contribution model. Feature extraction from a monolith into meaningful modules. Publishing the architecture, onboarding other domains, ownership and review rules for shared code. Deep Swift and modern concurrency. async/await, structured concurrency, actors, Sendable, cancellation. Experience introducing Swift 6 strict concurrency into a large mixed codebase, and a credible phasing plan. UIKit and SwiftUI. Deep understanding of both, and proven incremental migration between them. Data layer. Deep understanding of databases and their migration processes. Mobile security. SSL pinning trade-offs behind a CDN, App Attest, App Check, DeviceCheck, native OAuth, Keychain and secrets management. Dependency and build systems. SPM and CocoaPods, hybrid setups, vendor-locked binary SDKs. ADRs, RFCs and technical proposals. Circulated beyond the team: iOS Guild, other domains, Engineering and Senior Engineering Managers. Defines standards others adopt: quality gates, testing policy. Business judgement. Separates what must happen now from what can wait. Quantifies technical debt and argues remediation in business terms. Turns Apple platform deadlines into a costed plan. Proven record of roadmaps delivered and debt resolved. Whole-problem thinking. Looks beyond the technical problem to product intent, process and delivery. Works across the whole SDLC, not only inside the code. Advanced AI-assisted engineering. Claude, Copilot or Grok hands-on a strong plus. Harness, agentic, loop and graph engineering. Sets verification rules for AI-generated code and measures the return. Mentors senior engineers. Mediates technical disagreement, builds consensus without line authority, and reviews for standards, performance and security. Decides under ambiguity and owns the outcome. Cross-discipline partnership. Works closely with Staff engineers in other disciplines across the domain: Android, backend and QA. Strongly desired CI/CD and release automation with quality gates. GitLab CI, Fastlane, TestFlight, multi-market and multi-scheme pipelines. Gates in practice: coverage thresholds, static analysis, performance and binary-size budgets. macOS CI infrastructure. Runner provisioning, Xcode versions, simulator runtimes, signing and certificates, fleet reproducibility. On-premise, cloud or hybrid. Appearance and orientation migrations. Liquid Glass, or a portrait-locked app taken to landscape and adaptive layout: iPad, foldables, resizable windows. Test strategy at scale. XCTest and Swift Testing, snapshot testing, UI test architecture (Screen Objects, accessibility-id registries), flaky-test control. Observability. Crash reporting, MetricKit, cold-start and time-to-home budgets. Design System. Reusable components, accessibility compliance. Nice to have Apple Watch and watchOS, including companion apps and complications. CarPlay, App Clips, notification and app extensions. Code generation (SwiftGen, Sourcery). Payments or fintech SDK integration. Performance profiling with Instruments, metrics and tracing. Familiarity with the Android ecosystem. What we offer A product that has already been released to millions of users, with a real business case, not a lab pilot. Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. A quality mandate with executive attention. Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. Excellent working environment and flexible hours We offer B2B type of contract

Why this role exists Von Halsky is InPost's conversational AI shopping assistant, live in production and serving a growing share of our customers. What decides whether it wins is not the model but whether we can tell, at release cadence, that a change made conversations better. That is the Evaluations Platform, and we are hiring the engineer who takes it to the next level. What you will own The LLM-judge pipeline. Our release-gating judge over real and golden conversations, calibrated well enough that people act on its verdicts instead of arguing about it. Eval datasets and the golden set. Real coverage across intents and categories, including the Polish-language coverage generic benchmarks do not give us. Root-cause analysis on real conversations. Making our conversation-mining stack diagnostic rather than descriptive, on a stable issue taxonomy. The "sus" detector. Abusive, adversarial and anomalous sessions, next to our guardrails and red-team work. Evals-driven development. The eval comes before the feature, and writing it is as cheap as writing the code. The interface to product and business. Vague asks in, measurable quality definitions out, and results stakeholders can act on. What "leadership aspirations" means here concretely This is a technical lead role, not a people-management role, and you will not carry line-management duties on day one. You will set and defend the technical direction for the platform, act as reviewer of record for the area, mentor other engineers, scope work with our PM and EM, present results to stakeholders, and hold the line against ad-hoc requests crowding out platform work. Engineering management later, or a Staff-level hands-on track, are both paths we will build with you. Either way we need someone accountable for an area rather than for a ticket. How we define success in this role Judge pass rate is calibrated against human labels and is a number people trust and cite. A stable, versioned issue taxonomy is live and week-over-week trends are comparable. Every release is gated by an eval run the team can reproduce. The golden set has documented coverage and named blind spots. At least two engineers besides you can operate and extend the platform. What we are looking for Required 5+ years building and running production software, with 2+ years on LLM-based systems that real users hit. Strong engineering fundamentals , plus the habits that go with production ownership: testing, CI/CD, containers, observability, and working in cloud. We work primarily in Python. Demonstrable experience evaluating generative systems, not only building them: LLM-as-judge, human-label calibration, inter-annotator agreement, regression suites, offline-versus-online divergence. You should have opinions about what makes an eval worthless. AI engineering fundamentals. Prompt and context engineering as a discipline (context-window budgeting, structured outputs, failure-mode taxonomies); agentic primitives in production (tool use, multi-turn state, MCP , agent-to-agent integration patterns); and eval and LLM-observability tooling (LangFuse, Braintrust, Weave or equivalent, including things you built yourself). Comfort with data at scale : SQL, working with a lake or warehouse, and building a metric someone else can reproduce. Fluency with AI-assisted development tooling (Claude Code, Cursor, Copilot). We use it daily and expect it. Ability to make a technical argument to a non-technical audience and be understood. English B2 and Polish . Our users converse in Polish and you will read their conversations; judging quality you cannot read is not possible. Nice to have Harness and loop engineering. Building the scaffolding around models rather than only calling them: agent loops, retries and fallbacks, tool-call orchestration, deterministic replay, and the plumbing that makes a non-deterministic system testable. Auto-improving systems. Closing the loop from production signal back into the product: mining failures into cases, using eval results to drive prompt, retrieval and routing changes, and automating the parts of that cycle that people do by hand today. Adversarial robustness, jailbreak testing, red-teaming, or abuse and fraud detection. E-commerce, search or recommendation domain experience. What we offer A product that has already been released to millions of users, with a real business case, not a lab pilot. Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. A quality mandate with executive attention. Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. Excellent working environment and flexible hours We offer B2B type of contract

A key leadership role responsible for shaping the future of Platform Engineering across the organization. The position connects Platform Delivery, CloudOps, DevOps, SRE, Developer Experience, and AI Foundations into a cohesive internal platform product. Key Responsibilities Define and drive the long-term Platform Engineering roadmap. Make strategic architectural and technology decisions across the platform domain. Establish engineering standards, cloud-native practices, and quality benchmarks. Lead the adoption of a platform-centric operating model and self-service capabilities. Provide technical leadership for the migration from on-premise infrastructure to Google Cloud Platform (GCP). Shape the technical foundations for scalable and secure AI adoption. Partner with Staff Engineers, engineering leaders, and cross-domain stakeholders to deliver a unified platform vision. Strong background in Platform Engineering at scale. Broad expertise spanning Cloud, DevOps, SRE, Developer Experience, and Architecture. Experience building internal developer platforms and self-service ecosystems. Ability to influence technical decisions across multiple teams without relying on formal authority. Proven ownership, autonomy, and results-oriented mindset. Passion for mentoring senior technical talent and raising engineering standards. Why join InPost? Strategic impact on the technology direction of the entire engineering organization. Ownership of a platform used by engineering teams across the company. Unique blend of Platform Engineering, Cloud, Reliability, Developer Experience, and AI. Space to experiment with new technologies — including AI tooling — and bring innovations into production Collaborative, fast-moving environment where autonomy and accountability go hand in hand We offer a B2B Contract

Shape the future of Dynamics 365 at scale We are looking for an experienced engineer who wants to drive impactful technology initiatives and help shape the future of Microsoft Dynamics 365 across an international organisation. In this role, you will design and build business-critical solutions based on Microsoft Dynamics 365 and Power Platform while contributing to architectural decisions, engineering excellence and long-term technology strategy. What impact will you make? Design and deliver scalable Dynamics 365 and Power Platform solutions supporting complex business processes across multiple teams and markets. Lead architecture and integration initiatives connecting Dynamics 365 with enterprise systems and Microsoft Azure services. Drive large-scale technical initiatives, including platform upgrades, migrations and environment modernisation. Mentor engineers and contribute to a culture of quality, continuous improvement and knowledge sharing. Champion effective use of AI tools and modern engineering practices. Represent technology initiatives through architecture reviews, technical discussions and community engagement activities. Why join us? This is an opportunity to shape enterprise-scale solutions, influence technical direction and work on high-impact initiatives supporting the continued growth of InPost across multiple markets. You will collaborate with experienced engineers, solve complex business challenges and help define the future of the Dynamics 365 ecosystem within the organisation. What will help you succeed? 5+ years of experience building Microsoft Dynamics 365 solutions. Hands-on experience with Power Platform, Dataverse and Azure services (especially Azure Functions and Azure Service Bus) Proven experience designing and delivering end-to-end Dynamics 365 implementations. Strong expertise in C#, .NET, JavaScript/TypeScript and SQL. Hands-on experience with Power Platform, Dataverse and Azure services. Knowledge of modern DevOps practices and Agile delivery environments. Ability to make sound technical decisions and take ownership of outcomes. Passion for mentoring and supporting the growth of other engineers. Practical experience using AI tools in software engineering workflows. Professional Polish and English proficiency. Nice to have Microsoft Dynamics 365 or Power Platform certifications. Experience with Python, FastAPI or Flask. Knowledge of Docker, PostgreSQL, Redis or Apache Kafka. Experience working within large-scale enterprise ecosystems. What we offer A product that has already been released to millions of users, with a real business case, not a lab pilot. Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. A quality mandate with executive attention. Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. Excellent working environment and flexible hours We offer B2B type of contract

Purpose You'll be the engine behind InPost's CRM ecosystem — configuring, automating, and continuously improving the platforms that power our APM deployment and international expansion. Partnering closely with commercial, expansion, and operations teams across the UK, France, Italy, and Iberia, you'll turn complex operational workflows into reliable, scalable CRM processes. Key Activities Administer and configure InPost's CRM platforms (HubSpot, Pipedrive, Microsoft Dynamics 365 or equivalent) — pipelines, custom objects, user roles, and permissions. Design and maintain automations and integrations using Zapier, Make.com, and where needed Google Cloud Platform — connecting CRM with internal systems, marketing tools, and operational platforms. Translate APM deployment workflows (site sourcing, lead-to-deployment pipelines, partner onboarding) into structured CRM logic. Own data quality across markets: audits, deduplication, field validation, and lifecycle management. Build dashboards and reports tracking pipeline activity, deployment progress, and operational KPIs for international stakeholders. Gather requirements from teams across markets and translate them into scalable CRM configuration and process design. Maintain documentation, playbooks, and training materials; support onboarding and day-to-day CRM queries. Qualifications 2–4 years in CRM administration or operations (HubSpot, Pipedrive, or Microsoft Dynamics 365). 2+ years building workflow automations with Zapier, Make.com, or similar tools. Solid grasp of data hygiene, deduplication, and integration concepts (APIs, webhooks). Fluent in Polish and English — strong written and spoken. Degree in Business, Information Systems, or a related field, or equivalent hands-on experience. Nice to have: SQL, Power BI, GCP experience, or background in logistics/e-commerce and multi-market operations. ​​​​​​ Why Join InPost? Work at the intersection of fintech and e-commerce on one of Poland’s fastest-growing digital products Real ownership — your data products will directly influence strategic decisions in InPost Pay Opportunity to work in a diverse, international, and cross-functional environment alongside leading experts Space to experiment with new technologies — including AI tooling — and bring innovations into production Fulfilling career path with investment in your development, training, and growth Your impact will be visible immediately We offer B2B type of cooperation

We're looking for a Staff Software Engineer to raise the quality bar across our mobile app and backend domain - not by owning a test suite, but by changing how the whole domain designs, ships, and trusts its software. This is a hands-on technical leadership role. You'll shape architecture for testability and reliability, own the quality gates that let teams release with confidence, and build a culture where engineers own quality rather than hand it off. You'll operate as a true Staff Engineer: setting technical direction across several teams, going deep in the codebase when it matters, and framing quality as an engineering and business outcome - not a QA phase at the end. If you've done this in a product with real mobile scale, even better. Your scope of work will cover 3 areas. I. Quality architecture & engineering Set and own the quality and reliability strategy across the domain - from the API/contract layer through to native iOS (Swift/SwiftUI) and Android (Kotlin) clients. Design for testability and release confidence: quality gates inside release and store-deployment pipelines, device and OS-version fragmentation coverage, and flakiness control at scale (BrowserStack + GitLab CI). Keep the backend/API/contract layer strong and connect it cleanly to the mobile client layer. Drive resolution of quality and reliability issues that cross team boundaries within the domain. Get hands-on in the codebase where your depth moves the needle - prototypes, tooling, reference implementations, thorny incidents. II. Technical leadership, coaching & culture Shift quality ownership left into the engineering workflow - be the person teams pull in before implementation starts, not after. Mentor senior engineers across the domain and accelerate real, visible growth. Run knowledge-sharing across the org: tech talks, workshops, reusable documentation, pair sessions; co-lead the OneTech community. Co-shape the domain's technical direction with the SEM , with full autonomy within the domain, and analyse quality trends from metrics to identify where to improve. Define quality and reliability metrics and gates , and use them to frame risk in business terms for EMs, SEMs, and PMs. III. AI governance in engineering Define how AI is adopted for quality and engineering productivity in the domain — which tools, which workflows. Design AI-assisted workflows and set governance and data-security standards across teams. Assess and manage the risk of AI usage (including production-facing work), not just the productivity upside. Mentor engineers on responsible, effective AI use and report on its ROI. Must-have 8+ years of software engineering experience , with a track record operating at Staff / Principal / Tech Lead / Architect level - proven impact beyond a single team (standards set for multiple teams, or a cross-team initiative led). Proven experience in testing in at least one mobile platform (iOS or Android) using market standard approaches as well as commercial, working-level experience with testing native mobile apps. Deep ownership of quality and reliability as an engineering discipline - you've set standards and designed testing/quality strategy (not just executed someone else's plan) and changed outcomes measurably. Proven shift-left experience - entering the process before code is written and measurably moving the result. A strong hands-on engineering foundation - you can read, review, and write production-quality code, and teams respect your technical depth. Experience leading technical and process change directly with development teams. A hands-on, critical relationship with AI - using it and assessing its risks, not just its benefits. Fluent English . Strong plus - this is where you'll stand out Experience with BrowserStack and CI/CD (GitLab) . Snapshot testing experience (e.g. swift-snapshot-testing, Paparazzi) and introducing mock-based testing standards. Experience in the logistics or e-commerce industry. Fluency in Polish . Nice-to-have Familiarity with Appium (useful for understanding what we're migrating away from). Experience applying AI in engineering / testing workflows . ISTQB Advanced Level – Test Automation Engineer certification. Why InPost? An international, cross‑functional environment with experienced engineering leaders. The opportunity to work on products used by millions of users across Europe. Real ownership and influence over teams, technical direction, and long‑term solutions. Flexible working model with remote options in Poland. A strong engineering culture focused on quality, collaboration, and impact. We offer a B2B contract.

Join a team that builds technology used by millions We are looking for a Java Software Engineer who wants to make a real impact on product development, contribute to system architecture, and build scalable solutions in a global environment. Someone who wants to learn and grow — and we can provide exactly that. Your responsibilities Design, develop and maintain backend applications and microservices. Deliver new features and enhance existing systems. Deploy software to production environments and ensure reliability. Improve application performance, security and scalability. Collaborate closely with engineers, analysts, designers and Product Managers. Participate in code reviews and continuous improvement initiatives. Troubleshoot and resolve technical issues. Create and maintain technical documentation. Share knowledge and support team development. What we're looking for Around 5 years of commercial software development experience. Strong Java development experience. Hands-on experience with microservices architecture. Practical knowledge of Apache Kafka and REST APIs. Experience with Docker and Kubernetes. Experience working with cloud platforms (GCP or equivalent). Knowledge of Git, Maven/Gradle, Jira, Confluence and CI/CD practices. Ownership mindset and ability to deliver high-quality solutions independently. Experience working in Agile/Scrum environments. Bachelor's degree in Computer Science or a related field. English proficiency at B2/C1 level or higher. What will help you succeed Strong focus on quality and results. Excellent collaboration and communication skills. Analytical mindset and problem-solving abilities. Passion for continuous improvement and innovation. What we offer A product that has already been released to millions of users, with a real business case, not a lab pilot. Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. A quality mandate with executive attention. Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. Excellent working environment and flexible hours We offer B2B type of contract

Help us build the next generation of AI-powered products Join the Data & AI organization and take ownership of engineering teams building AI-native solutions for the entire Group. This opportunity combines technology leadership with a meaningful influence on products, engineering practices, team development, and the organization’s direction in artificial intelligence. You will help shape the AI Engineering strategy, establish new software development standards, and partner closely with product, data, and technology stakeholders. Together, we will explore practical applications of emerging technologies, including multi-agent systems, AI agents, and tools supporting the evaluation of AI models and applications. Your impact Lead a multidisciplinary engineering team of approximately 10–15 people working with AI technologies, supporting their growth, autonomy, and effective collaboration. Own the AI Engineering strategy and contribute to the development of products powered by machine learning and AI-native technologies. Partner with product managers and key stakeholders to define requirements, priorities, delivery plans, new features, and product enhancements. Establish standards and processes for building AI-native products, including CI/CD with evals, test sets, and search subsystems. Select and implement best-in-class open-source and commercial tools, including MCP Servers, A2A communication, CI/CD pipelines, workflows, and agent definitions. Guide the development of new AI-native workflows involving streaming, long-running tasks, and procedural UX, balancing state-of-the-art technology with pragmatism. Drive improvements in system architecture, application design, and engineering processes to enhance product functionality and customer experience. Contribute to hiring, onboarding, and the professional development of team members while supporting a diverse and inclusive workplace. Collaborate with strategic vendors and technology partners on partnerships, service agreements, and external innovation. Technologies and areas you may work with Python, LangSmith, AI evaluation stacks, OpenAI, Gemini, Databricks, multi-agent systems, MCP Servers, A2A communication, CI/CD, test sets, search subsystems, streaming, and long-running AI tasks. What makes this role distinctive The opportunity to shape the AI Engineering strategy and define standards for AI-native product development. Meaningful influence on a developing team, its engineering culture, and its ways of working. A Group-wide scope rather than responsibility limited to one local business area. Close collaboration with product, data, technology, and key business stakeholders. The opportunity to combine emerging technologies with a pragmatic approach to scaling products and engineering processes. Budget responsibility and influence over relationships with vendors and technology partners. This opportunity may be a strong match if you Have at least seven years of post-BS or post-MS experience in an engineering role. Have experience leading high-performing Agile development teams and a strong understanding of Agile principles and methodologies. Enjoy staying close to the work, contributing hands-on to strategic projects and solving complex challenges while leading your team. Have a proven track record of delivering scaled, impactful products powered by machine learning. Know how to build backend platforms capable of supporting multiple product lines. Combine strong technical judgment with ownership of results, quality, and team development. Communicate effectively with stakeholders and can influence, negotiate, and translate business objectives into technology decisions. Work independently, take ownership of decisions, and approach challenges with creativity and pragmatism. Are fluent in both Polish and English. Hold a university degree in computer science, mathematics, econometrics, statistics, or another related field. What we offer A product that has already been released to millions of users, with a real business case, not a lab pilot. Direct access to frontier models at committed capacity across multiple providers, plus an open-source track we run ourselves. A quality mandate with executive attention. Ownership of a platform that is greenfield in practice inside a company with production traffic, which is the rarest combination in this market. Hybrid working from Warsaw or Kraków, in a team growing fast enough that early hires shape how it works. Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development. You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day. Excellent working environment and flexible hours We offer B2B type of contract