Senior Applied AI/ML Scientist – B2B

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and implement workflows for production environments that are ambient and interactive.

• Create content enhancements powered by LLM for customer reporting, alerts, and intelligence briefings.

• Direct the technical strategy for services compatible with MCP, including function-calling patterns and multi-step reasoning workflows.

• Make architectural decisions regarding retrieval methods, agents, fine-tuning, smaller models, and traditional NLP approaches.

• Set standards for structured prompting, output schemas, and reusable engineering patterns.

• Develop evaluation practices for LLMs, incorporating offline benchmarks, online experiments, regression detection, and human-in-the-loop reviews.

• Ensure safety, minimize hallucinations, guarantee factual grounding, and maintain output consistency guardrails.

• Foster observability through tracing, cost monitoring, latency budgets, quality metrics, and drift tracking.

• Strive for a balance among model quality, latency, and costs.

• Advance the infrastructure for embedding and semantic search, including chunking, hybrid search, and re-ranking techniques.

• Enhance retrieval relevance within broader agentic frameworks.

• Collaborate with Product and UX teams to deploy customer-facing AI features.

• Lead technical design discussions and represent the AI team in architectural decisions.

• Elevate engineering standards through code reviews, mentorship, and documentation.

• Assess emerging models, frameworks, and techniques, incorporating suitable options into the technology stack.

• Oversee the complete delivery of significant AI features, from conceptualization to production.

• Create reusable tools and patterns to boost LLM development speed and reliability.

• Guide engineers in prompt design, evaluation, and AI system reliability.

⛳️ Requirements

• A minimum of 6 years of experience in building and operating production software systems.

• At least 2 years of direct experience in shipping LLM-powered features in practical applications.

• Strong backend engineering capabilities, preferably in Python.

• Familiarity with a variety of technologies, including Large Language Model APIs, transformer techniques, embedding models, similarity search, and vector databases like ChromaDB, Pinecone, or Weaviate; along with prompt engineering, structured output techniques, LLM evaluation frameworks, automated testing, and LLMOps practices such as monitoring, versioning, and observability with tools like Langfuse or Datadog.

• Proven track record of owning a system from end to end in a production setting.

• Experience in making and justifying architectural trade-offs, such as model selection, build vs. buy decisions, and balancing latency with quality.

• Demonstrated experience in mentoring engineers or leading technical design reviews.

• Proven ability to work closely with Product and UX teams during feature delivery.

• A bachelor's degree in Data Science, Computer Science, Machine Learning, AI, or a related field is preferred.

• Experience with AI orchestration frameworks like LangChain, LlamaIndex, or LangGraph is preferred.

• Familiarity with Model Context Protocol (MCP) or tool-calling architectures is preferred.

• Experience in developing agentic workflows or tool-using systems is preferred.

• Knowledge of semantic search and content retrieval systems is preferred.

• Experience with cloud platforms is preferred.

• Background in media analytics, content intelligence, or large-scale text processing is preferred.

• Experience in startup or high-growth settings is preferred.

🏝️ Benefits

• Eligibility for Restricted Stock Units (RSUs).

• 26 paid days off each year, in addition to public holidays and extra company-wide "Rest & Recharge" days.

• 20 weeks of paid leave for birthing parents.

• 16 weeks of paid leave for non-birthing parents.

• An annual Lifestyle Spending Account of $600 USD for personal well-being, gym memberships, health expenses, hobbies, or wellness needs.

• A flexible, remote-first work model.

• A one-time home office setup stipend of $550 USD.

• Monthly reimbursement for internet expenses.

• Access to dedicated mental health resources.

• Participation in company-wide wellness programs.

• Opportunities to visit the Chicago HQ for team meetups and collaboration.

• A daily lunch stipend of 50 zł when working from the Kraków office.