Data Engineer

At deepsense.ai, you won’t just build AI solutions – you’ll shape how companies around the world use them. Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics. Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media. Contribute to open-source projects – just take a look at our latest solution, ragbits , an agentic RAG framework with over 1.6k stars on GitHub. And the best part of working at deepsense.ai? Spread your wings with clear career paths, technical or leadership. Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds. Tap into domain expertise and knowledge sharing whenever you need it. What webelieve in? Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities. Responsibilities Collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions. Analyzing new potential data sources and integrating them to existing pipelines. Assist DevOps/MLops in configuring system infrastructure in “Infrastructure as Code” manner (including deployment of your code solution). Assist ML engineers in deploying ML models to production environments. Qualifications Interest in the AI/ML area. Good knowledge of Python and SQL. Experience with any of the major SQL databases (PostgreSQL preferred). Experience with cloud computing platforms (Azure/GCP/AWS). Experience with containerization technologies (Docker/Kubernetes). Experience with ETL and Big Data elements (Spark, Kafka, etc.). Basic experience in DevOps (Terraform/CloudFormation/Pulumi). Ability to work in a team and proactive approach to problem-solving. Experience with data-wrangling libraries such as Pandas or Polars. You may have Experience with Google BigQuery, Redshift/Glue/S3/Lambda/Athena. Familiarity with Snowflake, Databricks. Any experience with data integration or orchestration platforms, such as Airbyte, Fivetran, Airflow, Dagster, etc. Experience with machine learning. We offer Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production. Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals. An opportunity to participate in conferences and workshops around the world. An opportunity to participate in Tech Talks (internal training and seminar sessions). Flexible working hours and remote work options. Impactful AI projects Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach. Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know‑how from AI leaders into our projects. Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community. Growth & Knowledge Sharing Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings. Present your work at conferences, run experiments, and stay ahead of the curve. Choose your own career path and get support for your development. Flexibility & Culture Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk. Enjoy flexible working hours. Benefit from a culture that prevents burnout and supports balance in daily work. Start with onboarding – from day one you are matched with a buddy. Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work. Work in agile teams with fast decision‑making and space to try out your ideas. Basic Benefits Get private medical care and a Multisport card. Use our company library, attend onsite English lessons, and benefit from a dedicated training budget. Join free team lunches and enjoy fresh fruit & snacks. Take part in team-building activities and holiday celebrations. #J-18808-Ljbffr