GenAI Specialist / Data Scientist – AI Agents

BPX; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Job summary

BPX is seeking a GenAI Specialist / Data Scientist to design, build, and deploy AI Agents and agentic AI workflows in an AWS-based environment. You will leverage LLMs, LangChain, and OpenAI/Anthropic SDKs to deliver production-grade AI solutions integrated with existing systems and data sources.

The role requires hands-on experience deploying GenAI solutions, strong Python OOP skills, and cloud architecture expertise.

Qualifications

• Hands-on experience with Large Language Models (LLMs) and Agentic AI / AI Agents.
• Proven experience deploying GenAI or AI Agent solutions into production.
• Advanced Python programming skills: OOP, design patterns, modern Python practices.
• Hands-on AWS cloud tech: AWS Glue, Amazon Athena, AWS Step Functions, AWS Lambda.
• Experience with AWS in production-grade AI solutions and cloud architectures.
• Experience with Agile environments and tools like Azure DevOps or Jira.
• Excellent written and spoken English.

Responsibilities

• Design, build, and deploy AI Agents and Agentic AI workflows for real-world business use cases.
• Develop solutions using LLMs and relevant AI/frameworks/SDKs.
• Integrate AI workflows with existing apps, data sources, and cloud services.
• Build scalable, production-ready solutions within an AWS environment.
• Optimize agent behavior and outputs to deliver measurable business value.
• Design and implement tests to evaluate agent performance and impact on processes.
• Develop clean, reusable code using Python and OOP.
• Collaborate with technical and business stakeholders in an agile team.

Skills

LLMs

Agentic AI

LangChain

Python (OOP)

AWS

Cloud architecture

Agile

Tools

OpenAI SDK

Anthropic SDK

LangChain

Python libraries

Job description

About The Project

We are looking for a GenAI Specialist / Data Scientist to join a project focused on designing, building, and deploying AI Agents and Agentic AI solutions. The project involves developing production-ready GenAI capabilities within an AWS-based environment, leveraging existing data and analytics platforms. The focus will be on creating scalable AI workflows that can support and improve business processes and user experience. This is a hands-on role for someone with practical experience working with LLMs and Agentic AI, rather than purely research-oriented Data Science.

Details

• Start: ASAP
• Contract: B2B
• Duration: Until the end of 2026, with limited possibility of extension

Key Responsibilities

• Design, build, and deploy AI Agents and Agentic AI workflows for real-world business use cases.
• Develop solutions using Large Language Models (LLMs) and relevant AI/agent frameworks and SDKs.
• Integrate AI workflows with existing applications, data sources, and cloud-based services.
• Build scalable, production-ready solutions within an AWS environment.
• Optimize agent behaviour and outputs to deliver measurable business value.
• Design and implement tests to evaluate agent performance, reliability, and impact on business processes.
• Develop clean, reusable, and maintainable solutions using Python and object-oriented programming (OOP).
• Collaborate with technical and business stakeholders within an agile development team.

Requirements

• Hands-on experience with Large Language Models (LLMs) and Agentic AI / AI Agents.
• Practical experience with OpenAI and/or Anthropic Python libraries, LangChain, or comparable frameworks.
• Proven experience deploying GenAI or AI Agent solutions into production.
• Advanced Python programming skills, particularly:
  • object-oriented programming (OOP),
  • design patterns,
  • modern Python development practices.
• Hands-on experience with AWS cloud technologies, particularly:
  • AWS Glue,
  • Amazon Athena,
  • AWS Step Functions,
  • AWS Lambda.
• Strong understanding of cloud-based architectures and production-grade AI solutions.
• Experience working in agile development environments and with tools such as Azure DevOps or Jira.
• Excellent written and spoken English.