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AI Software Engineer

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Remote

AI Software Engineer

deepsense.ai

AI Software Engineer

Skills

Google Cloud PlatformSQL QueriesDockerDjangoFlaskPythonMicroservicesGitData AnalysisMachine LearningAIAWSGitHubKubernetesFastAPIAzure

8 months ago

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Important information


Contract type:

Freelance / Contract

Work mode:

Remote

Published on:

4 September 2026

What they need


Poland

(

remote

)

for this position

Position overview

Must have:

Anthropic API, AWS, Azure, FastAPI, GCP, OpenAI API, Python

Employment type:

B2B

Operating mode:

Remote

Location:

Poland

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- 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.

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