Data Scientist – Mid Profile

MARGO

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

Posted 11/11/2026full-timeWarsaw • PolandMid-LevelSenior💰 PLN 130 - PLN 160 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 model deployment, and compliance in banking infrastructure. Proven ability to mentor peers and communicate effectively with technical and business stakeholders.

Highest-signal resume keywords

Python ProgrammingLLM Architecture UnderstandingFastAPI Microservices DevelopmentData Extraction PipelinesDevOps Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented ProgrammingAsynchronous MicroservicesPytest TestingBash ScriptingLangGraph ArchitectureDSPy OptimizationGPU Infrastructure DeploymentCUDA ExperienceJenkins AutomationArize Phoenix Evaluation

Soft Skills

MentoringCommunication

Tools & Technologies

FastAPIPytestJenkinsArize PhoenixVLLM

Industry Keywords

AI SolutionsBusiness Process AutomationComplianceData SecurityAuditability

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 evaluation and observability frameworks for AI agents
Deploy and industrialize models, including LLMs and GPUs, using testing and DevOps best practices
Take full ownership of driving AI features
Build robust safety rails and communicate LLM constraints clearly
Communicate technical trade-offs with architects and business users
Mentor peers
Test ideas and PoCs 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 for unit, functional, and integration testing for ML/LLM pipelines
Bash scripting for automation, data handling, and container interaction
Understanding of LLM architecture proven by 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 like Arize Phoenix
Dedication to stable, secure code in banking infrastructure with compliance, auditability, and data security requirements

Benefits

Comp & perks

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