Senior ML Engineer — GenAI & LLM Pipelines (Remote)

Employment type:

B2B

Operating mode:

Remote

Location:

Poland

Atdeepsense.ai, wewon’t just build AI solutions – we’ll shape how companies around the world use them.

• We’re anOpenAI Advanced Partner and anAnthropic Service Partner, with adirect line toboth labs’ solution engineers. Wealso build production work onElevenLabs, soyou’re getting early, hands-on access tonew models and features before they hit the mainstream.
• Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
• Tackle challenges insoftware & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
• Contribute toopen-source projects – just take alook atour latest solution, ragbits, anagentic RAG framework with over 1.6k stars onGitHub.

And the best part ofworking atdeepsense.ai?

• Spread your wings with clear career paths, technical orleadership.
• Collaborate with 100+ AI experts with 15+ years ofapplied AI experience, aswell asPhD-level researchers with academic backgrounds.
• Tap into domain expertise and knowledge sharing whenever you need it.

Your Role asSenior Machine Learning Engineer

What makes this role stand out:

• You’re closest tothe models and AI itself, building ML/LLM pipelines, integrating, and optimizing models.
• You have a background indeep 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 ofAI: LLMs, agentic frameworks, RAG, inference optimization, and fine-tuning.
• Projects aren’t just PoCs, the models you build gointo production and reach real users.
• You won’t beboxed into “just ML” you’ll collaborate with Data Scientists, Software Engineers, and MLOps to deliver end-to-end solutions.
• Creating a GenAI solution for aleading USlegal company together with the OpenAI team.

All ofthis inasetup that feels like anAI-driven software house: remote-first, flexible, and packed with specialists who are open tosharing knowledge and experimenting with the newest tech.

The ideal candidate:

• 5+ years ofexperience inML engineering and working with models inproduction environments.
• Brings hands-on expertise with Large Language Models (LLMs) and Generative AI, including integration and inference optimization (latency, cost, scalability).
• Isfamiliar 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 toproduction-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).
• Isfluent 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.
• Areal-impact, end-to-end ownership mindset — you want tosolve real problems for real users, not chase hype orleave aPoC that never ships toproduction.
• Based inPoland, with avalid work permit allowing you towork here.
• Bonus: experience inprompt engineering and building simple AI user interfaces (Streamlit, Gradio).

WeOffer

Impactful AI projects

• Tackle industry-grade challenges: from LLMs for drug discovery toGenAI onedge devices, AI voicebots, and open-source initiatives with global reach.
• Collaborate directly with our partners for early access totools before public release, testing inproduction, and bringing know-how from AI leaders into our projects.
• Contribute toopen-source initiatives like ragbits (1.6k+ stars onGitHub), adopted and appreciated bythe ML community.

Growth & Knowledge Sharing

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
• Present your work atconferences, run experiments, and stay ahead ofthe curve.
• Choose your own career path and get support for your development.

Flexibility & Culture

• Work fully remote, from one ofour two offices (Warsaw, Bydgoszcz), orfrom coworking spaces inPoznań, Łódź, Wrocław, and Gdańsk.
• Enjoy flexible working hours.
• Benefit from aculture that prevents burnout and supports balance indaily work.
• Start with onboarding – from day one you are matched with abuddy.
• Access apremium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools tosupport your daily work.
• Work inagile teams with fast decision-making and space totry out your ideas.

Basic Benefits

• Get private medical care and aMultisport card.
• Use our company library, attend onsite English lessons, and benefit from adedicated training budget.
• Join free team lunches and enjoy fresh fruit & snacks.
• Take part inteam-building activities and holiday celebrations.