Senior AI/ML Engineer

Overview

Would you like to join an experienced team and work with a world-known Customer?

We have a fantastic opportunity for an experienced and skilled Senior AI/ML Engineer to participate in the development of a rapidly growing project.

Feel challenged? Then we would like to hear from you!

Customer

Our client is a leading global company with years of experience in innovative technologies. By bridging the real and digital worlds with top solutions, they enable the transformation of everyday life for billions of people. Their portfolio of products, services, and solutions is focused on clinical decision-making and treatment pathways.

Project

The project’s mission is to enable healthcare providers to increase their value by providing them with innovative technology and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, digital health, and enterprise services.

Requirements

• At least 5

years of commercial experience in ML, AI or/and Big Data

*

Solid understanding of distributed data processing concepts and core data engineering principles (ETL/ELT, data modeling)

• Proven ability to build production-grade applications using Python and large language models (LLMs)
• Experience designing AI agents

and orchestration flows (e.g., using LangChain, LlamaIndex, etc.)

• Experience implementing function calling, context management, and RAG patterns
• Demonstrated skill in crafting and optimizing prompts for complex, multi-step tasks
• At least an Upper-Intermediate level of English

Personal Profile

• Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams and stakeholders
• Strong problem-solving and decision-making skills with a focus on driving results and meeting deadlines
• Self-motivated, adaptable, and eager to learn new technologies and frameworks

Responsibilities

• Build AI agents and orchestration flows using Python to automate complex workflows
• Facilitate migration of internal tools to an AI-driven solution with a focus on multi-step, context-aware processes
• Implement complex AI workflows utilizing LangChain systems to connect LLMs with internal data
• Develop tools to automate the creation and validation of internal specification files
• Move into a broader data role, contributing to data pipelines and modeling post-migration

WHY US

• Diversity of Domains & Businesses
• Variety of technology
• Health & Legal support
• Active professional community
• Continuous education and growing
• Flexible schedule
• Remote work
• Outstanding offices (if you choose it)
• Sports and community activities