Senior Data Scientist

MARGO

. Design and develop LLM-based agentic solutions to automate complex business processes .

Posted 10/28/2026full-timeWarsaw • PolandSenior💰 PLN 180 - PLN 200 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing LLM-based solutions, with a strong focus on Python programming, AI adoption, and robust testing methodologies. Proven ability to mentor peers and communicate effectively with technical and business stakeholders.

Highest-signal resume keywords

Python ProgrammingLLM Architecture UnderstandingFastAPI Microservices DevelopmentAutomated Testing with PytestGPU Infrastructure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented ProgrammingAsynchronous MicroservicesBash ScriptingLLM Pipeline OptimizationCUDALangGraphDSPyJenkinsArize PhoenixData Extraction Pipelines

Soft Skills

MentoringCommunicationCollaboration

Tools & Technologies

FastAPIPytestJenkinsVLLMArize Phoenix

Industry Keywords

AI SolutionsBusiness Process AutomationComplianceData SecurityBanking Infrastructure

Tech Stack

Tools & technologies

JenkinsMicroservicesPythonRuby on Rails

About the role

Key responsibilities & impact

Design and develop LLM-based agentic solutions to automate complex business processes
Work closely with business teams to identify needs and drive adoption of AI solutions
Develop data extraction pipelines and implement evaluation and observability frameworks for AI agents
Deploy and industrialize LLMs and GPU-based models, ensuring quality through testing and DevOps best practices
Take full ownership of driving AI features
Communicate LLM constraints clearly and build robust safety rails
Communicate technical trade-offs with architects and business users
Mentor peers
Test ideas and proof-of-concepts quickly, validate feasibility with data, and avoid technical debt

Requirements

What you’ll need

Strong Python with extensive experience in Object-Oriented Programming and enterprise software design patterns
Proven track record building asynchronous microservices and endpoints using FastAPI
Hands-on practice in pytest, including unit, functional, and integration testing for ML/LLM pipelines
Bash scripting for automation, data handling, and container interaction
Understanding of LLM architectures proven by a project portfolio
Experience architecting multi-step, stateful agentic graphs using LangGraph or Google ADK
Hands-on experience optimizing LLM pipelines programmatically using DSPy
Practical knowledge of deploying and running high-throughput open-weight models on GPU infrastructure using runtimes such as vLLM
Experience with CUDA and fine-tuning is a strong plus
Familiarity with automated build, test, and release pipelines using Jenkins
Experience setting up tracing, drift detection, and automated evaluations for generative workflows using tools such as Arize Phoenix
Dedication to stable and secure code in banking infrastructure, with compliance, auditability, and data security

Benefits

Comp & perks

Permanent contract & B2B
Career prospects in Agentic AI architectures and industrialization of LLMs in production
Work on high-visibility projects within the Investment Banking division