Python Software Engineer (AI/ML)

October 21, 2026

Hybrid

Middle

Warsaw, Poland

Indeed

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Includes on-call duty

Description

Engineering role focused on integrating machine learning and neural network models into production products and building AI agents, backend services and integration APIs. Most products run on embedded Linux devices, so the work requires attention to performance, reliability and resource constraints. Full-time hybrid position based in Warsaw with possible relocation help.

Responsibilities

Integrate ML and neural network models developed by ML Engineers into production applications
Build and maintain Python-based inference pipelines and services
Develop software components that connect ML models with existing product functionality
Develop AI agents and agent-based workflows including tool calling, external services and APIs
Design and implement REST APIs and integration APIs for external products and services
Develop software for embedded Linux environments
Optimize inference and application code for devices with limited CPU, memory and storage
Integrate Python applications with system services, hardware interfaces, databases, message brokers and external APIs
Work with ML Engineers to define model input/output contracts and production inference interfaces
Package and deploy applications and ML components
Implement logging, monitoring, error handling and diagnostics
Write unit and integration tests
Troubleshoot issues across application, ML inference, operating system, network and deployment layers
Participate in architecture and technical design discussions
Maintain technical documentation for implemented components and integrations

Requirements

Strong knowledge of Python and practical experience developing production software
Good understanding of software engineering principles and application architecture
Experience building REST APIs and backend services with FastAPI, Flask or similar frameworks
Experience working with Linux processes, networking, filesystems, permissions, services and CLI tools
Experience integrating third-party libraries, SDKs, APIs or external services
Understanding of asynchronous programming, multithreading or multiprocessing concepts
Experience with Git and standard software development workflows
Ability to debug complex integration issues
Understanding of automated testing and code quality practices
Basic understanding of machine learning and neural networks
Understanding of the ML inference lifecycle: preprocessing, inference, postprocessing and application logic
Familiarity with ML frameworks and runtimes such as PyTorch, TensorFlow, ONNX Runtime, TensorRT, OpenVINO or TFLite
Ability to work with models, tensors, model inputs and outputs, preprocessing pipelines and inference APIs
Collaboration with ML Engineers to move models from experiments into production environments
Basic practical DevOps knowledge: Docker, CI/CD pipelines and Linux application deployment
Experience with LLM-powered applications, agent and tool-calling architectures, RAG or MCP is highly desirable
Embedded Linux, ARM platforms and edge AI experience would be a strong advantage

Conditions

Full-time hybrid role based in Warsaw, Poland
Relocation assistance to Warsaw is possible
Products mostly run on embedded Linux-based devices with limited CPU, memory and storage
Deep ML research experience is not required, the focus is software engineering
Deep embedded C/C++ experience is not mandatory