Production AI Engineer - GenAI & Cloud Platforms

Sii Poland; Łódź; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Great place to work

Profit sharing

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Regular integration events and trips

Medical care

Job summary

Sii Poland is seeking engineers to build production AI systems beyond notebooks. You will translate architectures into scalable services on Azure, AWS, or GCP, focusing on data quality, latency, evaluation, and deployment.

You’ll write robust Python, integrate cloud infra, and tackle real-world AI problems in a production setting. You will work across generative and classical AI stacks, developing knowledge-grounded systems, integrating LLMs, training ML models, and keeping everything running in

Qualifications

• At least 4 years in software or ML engineering shipping AI/ML systems to production.
• Strong Python skills—maintainable, tested code for production services.
• 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 (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 LangGraph, LangChain, Semantic Kernel, or equivalent.
• 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

Production AI/ML systems

Autonomy in work

English communication

ML engineering

Tools

LangChain

LangGraph

Semantic Kernel

Azure

AWS

GCP

Docker

Kubernetes

CI/CD

Job description

Sii Poland is seeking engineers to build production AI systems beyond notebooks. You will translate architectures into scalable services on Azure, AWS, or GCP, focusing on data quality, latency, evaluation, and deployment.

You’ll write robust Python, integrate cloud infra, and tackle real-world AI problems in a production setting. You will work across generative and classical AI stacks, developing knowledge-grounded systems, integrating LLMs, training ML models, and keeping everything running in