Senior Data Scientist, NLP

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

📋 Description

• Create and develop comprehensive agentic AI solutions utilizing contemporary LLM frameworks.

• Construct and launch Generative AI applications leveraging Python.

• Design and oversee AI agents, focusing on tool integrations, memory management, and reasoning workflows.

• Implement orchestration for agents in multi-agent systems and automate complex tasks.

• Utilize advanced prompt engineering strategies to enhance model performance.

• Set up frameworks for agent observability (monitoring, tracing, logging, evaluation, guardrails).

• Deploy AI solutions using containerized architectures like Docker and Kubernetes.

• Guarantee the scalability, reliability, and security of AI systems in production environments.

• Integrate AI agents with enterprise APIs, databases, and external systems.

• Regularly assess model performance and apply optimization techniques.

⛳️ Requirements

• Strong expertise in Python programming.

• Practical experience with Generative AI / LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, etc.).

• Experience in developing end-to-end agentic solutions.

• Hands-on experience in agent creation and orchestration.

• Proficiency in prompt engineering and optimization of LLMs.

• Familiarity with container-based deployment strategies (Docker, Kubernetes).

• Experience in establishing agent observability (monitoring, tracing, evaluation frameworks).

• Knowledge of REST APIs and backend integration methodologies.

• Competence in deploying AI applications within cloud environments (AWS / Azure / GCP).

• Understanding of RAG architectures, embeddings, and vector databases.

• Proficient in English – at least a C1 level.

• Experience with multi-agent collaboration frameworks (preferred).

• Familiarity with evaluation tools (e.g., prompt testing, hallucination detection, guardrails) (preferred).

• Familiarity with MLOps practices (preferred).

• Knowledge of distributed systems design (preferred).

• Experience with real-time AI applications (preferred).

• Background in machine learning fundamentals (preferred).

🏝️ Benefits

• Engage with the latest machine learning technologies.

• Annual budget for personal development.

• Opportunity to participate in a diverse range of exciting projects.

• Access to internal workshops.

• Support for personal branding (articles, conference speaking, internal workshop facilitation).

• Flexible working hours.

• Option for remote work.

• Chillout area, complimentary beverages, and team & company events.

• Friendly workplace atmosphere.

• MultiSport membership.

• LuxMed health benefits.