About deepsense.ai
At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them.
By joining us, you’ll:
- 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 we believe in?
- Team Strength – sharing and exchanging knowledge is key to our daily work
- Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
- Balance – we value work-life balance
- Commitment – we want you to be fully part of the team
- Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities
Responsibilities
- designing, developing, and maintaining data pipelines (ETL/ ELTs).
- working with a variety of data sources (such as: streaming data, batch-data, data from production systems, data from ML models).
- ensuring the stability and performance of data pipelines, including monitoring and troubleshooting.
- 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 a Code” manner (including deployment of your code solution).
- assist ML engineers in deploying ML models to production environments.
You must have
- 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 a 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.
- qny 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.
We Offer
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.
- Get high-end equipment (laptops, dual monitors, pro peripherals).
- 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.