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 Machine Learning Engineer
What makes this role stand out:
- You’re closest to the models and AI itself, building ML/LLM pipelines, integrating, and optimizing models.
- You have a background in deep learning, NLP, or CV, and today you’re hands-on with GenAI and LLMs.
- You know techniques like fine-tuning, prompting, quantization, and LoRA and you understand how models work and how to adapt them for production.
Why it’s worth it:
- You’ll dive into the hottest areas of AI: LLMs, agentic frameworks, RAG, inference optimization, and fine-tuning.
- Projects aren’t just PoCs, the models you build go into production and reach real users.
- You won’t be boxed into “just ML” you’ll collaborate with Data Scientists, Software Engineers, and MLOps to deliver end-to-end solutions.
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 4–5+ years of experience in ML engineering and working with models in production environments.
- Brings hands-on expertise with Large Language Models (LLMs) and Generative AI, including integration and inference optimization (latency, cost, scalability).
- Is familiar with frameworks and tools for building and orchestrating LLM pipelines (LangChain, LlamaIndex, RAG, agent frameworks).
- Can design and implement end-to-end ML/LLM pipelines, from data preparation and training/fine-tuning to production-grade APIs.
- Has experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
- Has worked with SQL, NoSQL, and vector databases (Pinecone, FAISS, Weaviate).
- Is fluent in Python and experienced with ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Knows how to deploy and monitor models (MLOps: CI/CD for models, logging, observability, quality monitoring).
- Communicates clearly and can collaborate effectively with both Data Scientists and product/client teams.
- Bonus: experience in prompt engineering and building simple AI user interfaces (Streamlit, Gradio).
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.