AI Software Engineer

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 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.