Production AI Engineer: GenAI, Cloud & MLOps

Sii Poland; Województwo pomorskie; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Internal trainings

Centre of internal trainings

Open and accessible management team

Regular integration events and trips

Job summary

Sii Poland is seeking engineers to build AI systems that go beyond notebooks, turning architectures into production services with reliability, observability, and cost efficiency. You will write Python, wire cloud infrastructure, and tackle issues like data quality, latency, evaluation, and deployment.

You'll work across generative and classical AI stacks, integrate LLMs, train and deploy models, and keep systems running on Azure, AWS, or GCP.

Qualifications

• At least 4 years in software or ML engineering, with hands-on experience shipping AI/ML systems to production.
• Strong Python skills — writing maintainable, tested production code.
• 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 with architects, data engineers, and product teams.
• Fluent English (both written and spoken) and Polish language 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, 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

English fluency

Polish fluency

Autonomous work

Cloud platforms

Tools

LangChain

LangGraph

Semantic Kernel

Azure

AWS

GCP

Docker

Kubernetes

Job description

Sii Poland is seeking engineers to build AI systems that go beyond notebooks, turning architectures into production services with reliability, observability, and cost efficiency. You will write Python, wire cloud infrastructure, and tackle issues like data quality, latency, evaluation, and deployment.

You'll work across generative and classical AI stacks, integrate LLMs, train and deploy models, and keep systems running on Azure, AWS, or GCP.