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.
Your Role as AI Software Engineer
What makes this role stand out:
- You have a background in backend development and system architecture, and you feel confident working in the cloud.
- You design and build scalable, complex microservices-based systems that integrate AI models.
- You understand the limitations and challenges of GenAI systems from inference costs to latency and security.
Why it’s worth it:
- Here, you’re not “just a backend developer,” you have the chance to build the next generation of AI-powered applications.
- Projects often require bridging traditional systems with GenAI/LLMs, giving you real influence over architecture.
- Close collaboration with MLEs and Data Scientists gives you exposure to the full AI stack from models to APIs and integrations.
A few project examples:
- Training multimodal LLMs for drug discovery.
- Building AI voicebots that double conversion rates.
- Creating a GenAI solution for a leading US legal company together with the OpenAI team.
- Running GenAI on edge devices with cloud-level performance.
All of this in a setup that feels like an AI-driven software house: remote-first, flexible, and packed with specialists who are open to sharing knowledge and experimenting with the newest tech.
The ideal candidate:
- Has 5+ years of experience in software engineering with strong proficiency in Python.
- Understands microservices and event-driven architectures, and can build scalable APIs and microservices (FastAPI, Flask, Django).
- Is experienced with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Has worked with both SQL and NoSQL databases, as well as data pipeline integration.
- Follows best engineering practices: CI/CD, automated testing, version control.
- Is passionate about building AI-driven applications and integrating Generative AI and LLMs into production systems, with a focus on scalability, latency, inference cost optimization, including integration via MCP.
- Communicates clearly and effectively, collaborating with ML Engineers, Data Scientists, and clients.
- Bonus points for experience with vector databases, streaming systems, or MLOps.
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.