Senior Applied AI Engineer - Hybrid (3 onsite/2 remote)

Harvey Nash Poland; Województwo mazowieckie; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Harvey Nash Poland seeks an experienced Applied AI Engineer to help develop and advance production-ready machine learning systems and AI applications within a high-performance engineering environment.

You will build and maintain production-grade code, collaborate with engineering teams to deliver scalable solutions, and work with cloud-native platforms and distributed data technologies in a hybrid work model (3 days onsite, 2 days remote). Strong English communication is essential.

Qualifications

• Minimum 5 years of relevant professional experience.
• Strong hands-on software engineering skills, particularly in Python and/or Java.
• Experience with cloud-native technologies, Kubernetes and distributed data processing.
• Knowledge of technologies such as Apache Spark, Snowflake or Databricks.
• Experience with machine learning or AI applications; exposure to LLMs, Generative AI, LangChain or LangGraph is advantageous.
• A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering or a related field, or equivalent industry experience.
• Strong English communication skills are essential.

Responsibilities

• Develop, test and maintain high-quality, production-ready code.
• Build and enhance machine learning systems and AI-driven applications.
• Collaborate with engineering teams to deliver scalable, reliable solutions.
• Work with modern cloud-native platforms, distributed systems and data technologies.

Skills

Python

Java

Cloud-native

Kubernetes

Distributed data processing

English communication

Education

Master's or PhD in Computer Science or related field

Tools

Apache Spark

Snowflake

Databricks

LangChain

LangGraph

Job description

Harvey Nash Poland seeks an experienced Applied AI Engineer to help develop and advance production-ready machine learning systems and AI applications within a high-performance engineering environment.

You will build and maintain production-grade code, collaborate with engineering teams to deliver scalable solutions, and work with cloud-native platforms and distributed data technologies in a hybrid work model (3 days onsite, 2 days remote). Strong English communication is essential.