Production AI Engineer - Python, Cloud & LLMs

Sii Poland; Łódź; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Many experts you can learn from

Job summary

Sii Poland is seeking engineers to build AI systems that run in production, not notebooks. You'll translate architectures into reliable, observable, and cost-efficient services, writing Python, wiring cloud infrastructure, and tackling data quality, latency, evaluation, and deployment.

You'll work across the generative and classical AI stack—integrating LLMs into applications, training and deploying ML models, and keeping systems running on Azure, AWS, or GCP for real-world impact.

Qualifications

• At least 4 years in software or ML engineering, with hands-on experience shipping AI/ML systems to production
• Strong Python skills — not just scripting, but writing maintainable, tested code for production services
• Practical experience with AI/ML frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
• Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and its AI/ML services
• Experience with vector databases, embedding models, and retrieval systems in real-world applications
• Familiarity with MLOps fundamentals: model versioning, experiment tracking, CI/CD for ML, and monitoring
• Ability to work autonomously while collaborating effectively with architects, data engineers, and product teams
• Fluent English (both written and spoken)
• Fluent Polish required
• Residing in Poland required

Responsibilities

• Build and deploy knowledge-grounded AI systems end-to-end: data ingestion, chunking, embedding pipelines, retrieval logic, re-ranking, and response generation
• Develop agentic applications — tool integrations, planning loops, memory management, guardrails — using frameworks like LangGraph and LangChain
• Implement and maintain ML pipelines for classical use cases: prediction, classification, recommendation, and optimization models
• Deploy and optimize model serving infrastructure: API endpoints, batching, caching, GPU utilization, and cost management across cloud environments
• Write clean, tested, production-grade Python — not prototype code that someone else has to rewrite
• Build evaluation and monitoring pipelines: automated quality checks, drift detection, latency tracking, and human-in-the-loop feedback loops
• Work with cloud-native AI services on at least one major platform (Azure, AWS, or GCP) to implement scalable solutions
• Collaborate with AI Architects on technical design and with data engineers on data availability and quality

Skills

Python programming

ML pipelines

Cloud computing

English

Polish

Tools

LangChain

LangGraph

Semantic Kernel

Azure

AWS

GCP

Job description

Sii Poland is seeking engineers to build AI systems that run in production, not notebooks. You'll translate architectures into reliable, observable, and cost-efficient services, writing Python, wiring cloud infrastructure, and tackling data quality, latency, evaluation, and deployment.

You'll work across the generative and classical AI stack—integrating LLMs into applications, training and deploying ML models, and keeping systems running on Azure, AWS, or GCP for real-world impact.