Sr. Applied AI/ML Scientist (B2B)

Role overview Lead the design and delivery of production AI features that turn fast-changing news and media signals into useful intelligence. The work spans background agents, interactive assistants, content enrichment, and retrieval, with a strong focus on accuracy, reliability, and customer-facing reporting. This is a senior technical role that shapes architecture and supports the growth of other practitioners.

Responsibilities - Build and operate background and interactive agent workflows that monitor, enrich, summarize, and answer questions about large, continuously changing content collections. - Deliver structured LLM-generated insights for reporting, alerts, and briefings. - Set patterns for tool use, function calling, multi-step reasoning, prompts, and output schemas. - Choose appropriately among retrieval, agents, fine-tuning, smaller models, and conventional NLP approaches. - Establish evaluation practices, factual grounding and safety controls, and monitoring for quality, latency, cost, and model drift. - Improve embedding and semantic search systems, and partner with Product and UX to ship features; lead design reviews, code reviews, and mentorship.

Requirements - At least 6 years building and operating production software, including 2 or more years shipping LLM-powered features. - Strong backend engineering skills and experience using Python or similar languages. - Experience with LLM APIs, embeddings, similarity search, prompt design, structured outputs, and evaluation; familiarity with vector databases and LLM operations tools is also sought. - Track record of owning production systems end to end and making architectural trade-offs involving quality, latency, and cost. - Experience working with product and design partners, leading technical reviews, or mentoring engineers. - Bachelor’s degree in a relevant field, such as computer science, AI, machine learning, or data science.

Nice to have Experience with orchestration frameworks, tool-calling or MCP-compatible systems, agentic workflows, semantic retrieval, cloud platforms, large-scale text or media analytics, or startup environments.

Benefits and work setup The role may be based in Kraków or performed remotely within Poland. Office-based team members receive a daily lunch stipend; international travel to a U.S. headquarters for team meetups may be available. Compensation and benefits depend on location and are subject to the employer’s stated policies.