June 30, 2026

Senior AI Platform Engineer (Python, AWS, Data Pipelines)

Senior • Remote

170 - 170 PLN/hr

Warsaw, Poland

Location: remote with the first day onboarding in Warsaw and occasional visits once per quarter

Rate: 170 pln/h on b2b

Project Overview

We are building CaaS (Content as a Service) — a platform that transforms publisher content (PDF textbooks and Excel manifests) into structured, enriched, AI-ready data.

The platform processes content once and exposes it through a unified service layer used by multiple downstream applications.

Key use cases:

  • RAG-based Teacher Assistant

  • Editorial tooling

  • Future AI-powered student-facing products

The goal of this role is to design, build, and maintain a scalable data and AI platform that ingests, processes, enriches, and serves content reliably across multiple environments and consumers.

Responsibilities

Data Engineering & Pipelines

  • Build and maintain multi-stage data ingestion pipelines

  • Design and implement idempotent, restartable batch processing workflows

  • Use S3 as core storage layer for raw and processed data

  • Implement pipeline stages including:

    • Content ingestion and book identity assignment

    • PDF-to-markdown conversion (AI OCR)

    • Table of contents and structure extraction

    • Hierarchical chunking

    • Embedding generation

AI / LLM Processing

  • Use LLMs and OCR models to extract structured data from PDFs

  • Design prompts and context strategies for consistent outputs

  • Generate structured metadata and enrich content for downstream use cases

Data Storage & Consistency

  • Maintain PostgreSQL (Aurora) as system of record

  • Design and maintain SQL schemas and versioned migrations

  • Ensure data consistency across:

    • S3

    • PostgreSQL (Aurora)

    • Vector database (Weaviate)

  • Implement reconciliation logic across distributed systems

Retrieval & Vector Search

  • Work with Weaviate for vector search and semantic retrieval

  • Support RAG-based applications

  • Design data organization strategies (by subject, country, and client)

APIs & Integration

  • Build REST APIs using FastAPI

  • Expose content as a service for multiple downstream applications

  • Integrate with internal and external systems

Engineering Practices

  • Write strongly typed Python code (mypy)

  • Follow CI/CD processes with automated checks (ruff, pytest)

  • Work across dev / staging / production environments

  • Debug distributed data inconsistencies

Key Requirements

Must-have

  • Strong Python development experience (production systems)

  • AWS experience (S3, Glue, Aurora)

  • Experience with data pipelines (ETL / batch processing)

  • Strong SQL and PostgreSQL experience

  • Experience with schema design and migrations

Nice-to-have

  • Experience with LLMs in production (OCR, content processing, enrichment)

  • Prompt engineering / context engineering

  • Experience with vector databases (Weaviate, Pinecone, Qdrant, pgvector)

  • Knowledge of embeddings, semantic search, and RAG

  • Experience with FastAPI

  • Experience with Airflow / MWAA

  • Experience building data platforms serving multiple consumers

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Warsaw, Poland

4,500 - 5,500 USD

🏢 Summary: The offer is for a Quality Assurance Analyst in a PaaS Customer Delivery team, responsible for ensuring the quality, stability, and scalability of enterprise AI platform solutions. The role focuses on functional, integration, regression, API, and database testing, as well as supporting test automation and continuous improvement of QA processes. You will collaborate closely with engineers and analysts to deliver reliable releases and maintain high platform standards. 🗂️ Requirements: 4+ years of QA or software testing experience, Strong knowledge of QA methodologies and test planning, Experience working in Agile environments, Experience with Jira, TestRail or similar tools, Experience in API testing and validation of JSON/XML, Basic knowledge of test automation frameworks, Ability to read and maintain automation test code, Experience in database testing and writing SQL queries, Knowledge of manual testing techniques 📃 Skills: QA, Agile, Jira, TestRail, API, JSON, XML, SQL, Cypress, Selenium, Playwright, UAT 🏢 Description: Please note: this role requires 3 days per week in the Warsaw office, and the remaining days can be worked remotely. We are an AI-focused company that creates enterprise solutions for public and private companies, governments, institutions, asset managers, and family offices. We help organizations improve their work by bringing data together, automating processes, and providing useful insights for better decisions. Our team includes more than 300 engineers and delivery specialists working from several offices around the world. The Opportunity We are looking for a Quality Assurance Analyst who cares about quality and wants to make sure everything works correctly. As part of our PaaS (Platform-as-a-Service) Customer Delivery team in Warsaw, you will do more than just test software — you will help deliver reliable and scalable solutions for our clients. In this role, you will find problems before users see them, support continuous improvement, and make sure platform features are ready for customers. You will work closely with engineers, product delivery managers, and business analysts to make sure releases are stable and client experience is smooth. If you enjoy testing, solving problems, and working in a fast-moving environment, we would like to have you on our team. Responsibilities and Duties Create and perform functional, integration, regression, and exploratory tests Work with engineers and analysts to review requirements and set acceptance criteria Find, report, and track bugs; clearly explain risks and issues Keep test documentation updated and support UAT with customer delivery teams Help create and manage automated test suites when needed Improve QA processes, tools, and reporting Promote quality during all stages of the delivery process Requirements 4+ years of experience in QA or software testing Good knowledge of QA methods, test planning, and test execution Experience working in Agile teams and with different departments Experience using tools like Jira, TestRail, or similar Strong attention to detail and ability to think about possible risks and unusual cases Experience in API testing, including creating collections, understanding status codes, and checking JSON/XML responses Basic knowledge of test automation and ability to read and maintain code in tools like Cypress, Selenium, or Playwright Experience in database testing, including writing SQL queries such as JOINs and subqueries for backend validation Knowledge of manual testing Preferred Understanding of platform-based or multi-tenant application testing Experience with SaaS or configurable enterprise software Bachelor’s degree in Computer Science or similar field Why Join Us? We value people who solve problems creatively, learn quickly, and work well in an open and diverse environment. We work hard, but we also believe it is important to enjoy the work we do.

Technology

Vecten

Senior DevOps Engineer

Senior

Remote

Warsaw, Poland

35,000 - 45,000 PLN

🏢 Summary: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

Technology

N-iX

Lead Fullstack (React+Next.js)

Senior

Remote

Cracow, Poland

6,500 - 7,000 USD

🏢 Summary: Senior Frontend Platform Engineer role focused on building and scaling a secure, micro-frontend-based SaaS UI platform used in highly regulated, enterprise environments. The position involves developing reusable components, CI/CD pipelines, and high-availability frontend systems integrated with REST/gRPC services. Engineers shape platform standards, performance, and secure-by-default practices at global scale. 🗂️ Requirements: 8+ years of professional software development experience, Strong proficiency in TypeScript, Strong proficiency in React, Experience building production-grade reusable frontend component libraries, Experience with frontend testing frameworks and test automation, Solid experience with Next.js, Solid experience with Node.js, Solid experience with Express, Experience delivering SaaS products, Experience integrating with RESTful or gRPC services 📃 Skills: TypeScript, React, Next.js, Node.js, Express, JavaScript, REST, gRPC, CI/CD, Azure, JSON, XML, Micro-frontend, Agile, TDD 🏢 Description: #4727 Our Client is building a SaaS platform used globally to streamline business-critical workflows and transform document-driven processes into intelligent, automated systems. Their platform powers agreement lifecycle experiences at a massive scale, serving millions of organizations across highly regulated and enterprise environments. The team develops a unified, widget-based frontend platform that standardizes how product teams deliver modern, high-performance user interfaces. This platform provides a shared shell, micro-frontend architecture, and automated CI/CD pipelines that distribute versioned UI components globally with high reliability. Part of the work includes supporting secure, compliance-heavy environments designed for federal-grade workloads. Engineers design systems that are secure by default, privacy-aware, and built on zero-trust principles. The role involves solving advanced platform challenges such as resilient rollouts, deterministic builds, telemetry without exposing sensitive data, and high-availability architecture in constrained environments. This is an opportunity to shape platform standards, performance practices, and developer tooling in a system operating at meaningful scale. Responsibilities : Design and implement reusable frontend components within a micro-frontend architecture. Build and maintain a shared UI platform that enables consistent user experiences across products. Develop scalable CI/CD pipelines that publish versioned frontend artifacts for global delivery. Contribute to secure-by-default engineering patterns aligned with compliance requirements. Optimize performance, observability, and reliability across distributed frontend systems. Collaborate with cross-functional teams to define platform standards and engineering best practices. Integrate frontend systems with RESTful and/or gRPC backend services. Support high-availability deployments in regulated or restricted environments. Required Qualifications : 8+ years of professional software development experience. Strong proficiency in TypeScript and React. Experience building reusable, production-grade frontend component libraries. Experience with frontend testing frameworks and test automation. Solid experience with Next.js , Node.js , and Express . Proven track record delivering SaaS products. Preferred Qualifications : Experience across the full software development lifecycle. Familiarity with schema modeling (e.g., JSON Schema or XML Schema). Experience with Agile and test-driven development methodologies. Experience with Azure DevOps or comparable CI/CD tooling. Knowledge of micro-frontend frameworks. Experience building or consuming RESTful or gRPC services. Strong written communication skills in asynchronous environments. Passion for platform engineering and high-quality software craftsmanship.