Top Tech Jobs & Startup Jobs in Krakow

Work closely with company founders to execute go-to-market strategies, improve operational processes, grow client and partner communities, and implement AI-driven solutions. The role involves managing go-to-market pipelines end to end, coordinating cross-functional initiatives, and adapting within a fast-paced startup environment.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Design and scale Databricks Genie conversational data interfaces, including Genie Spaces, semantic layers, SQL guidance, testing, fine-tuning, and external integrations. Build optimized Python, SQL, and PySpark pipelines in Delta Lake, support LLM-based metadata enrichment and semantic optimization, and translate business requirements into reliable data models. Collaborate with stakeholders and maintain high standards for accuracy, performance, and governed enterprise data access.

Build and evolve backend services and APIs for an AI-driven networking product. Design and deliver product functionality end-to-end, improve existing microservices, collaborate on product decisions, and own solutions through deployment with minimal supervision. The role uses Node.js with NestJS, Go, PostgreSQL, gRPC, Docker, GCP, and AI developer tooling in a fully remote startup environment.

Designs and maintains end-to-end automated testing across AWS web applications and Salesforce workflows. Automates cross-platform user journeys, Salesforce Lightning UI tests, REST API integrations, webhooks, secure queues, and database verification using SOQL. Integrates test suites into Git-based CI/CD pipelines while ensuring secure, reliable synchronization of DevOps data and Salesforce metadata.

Review and onboard business customers by performing KYB/KYC checks, verifying corporate documentation, conducting sanctions/PEP/adverse media screening, assessing AML risk, escalating high-risk cases, maintaining records, and collaborating with Sales, Compliance, and Operations to streamline onboarding and improve processes.

Develop, validate, deploy, and maintain machine learning solutions for medical device manufacturing and CAD/CAM systems. Build deep learning and multimodal AI models using computer vision, 3D geometry, meshes, images, and structured data. Integrate models into production systems, conduct performance analysis, maintain ML workflows, and translate research into practical manufacturing applications while collaborating with engineering, manufacturing, and product teams.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Own the end-to-end architecture of a cloud platform with hundreds of Java microservices and millions of daily real-time transactions. Design distributed systems, data platforms, APIs, reliability practices, and cloud infrastructure; establish engineering standards and observability; manage technical debt and modernization; and lead engineering and technology teams. Communicate strategy and risk to executives, regulators, and partners while ensuring scalability, security, auditability, and regulatory compliance.

Open application for a remote, high-ownership role at a B2B agency focused on AI-era organic search. Responsibilities include running experiments, optimising content for LLMs and AI visibility, documenting learnings, using proprietary tools, collaborating async with clients and teammates, and improving processes to drive measurable search and content outcomes.