Production AI Engineer: GenAI, Cloud & MLOps

Sii Poland; Warszawa; On-site; PLN 240,000 - 360,000; 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 looking for engineers to build AI systems that run in production beyond notebooks. You will convert architectures into reliable, observable services on Azure/AWS/GCP, focusing on data quality, latency, and deployment.

You will work across generative and classical AI stacks, integrate LLMs, train models, and keep systems running. The role offers diverse projects and collaboration with AI architects and data engineers.

Qualifications

• At least 4 years in software or ML engineering with production AI/ML experience.
• Strong Python skills written for production services.
• Practical experience with LangChain, LangGraph, Semantic Kernel, or equivalent.
• Experience with Azure, AWS, or GCP and their AI/ML services.
• Experience with vector databases, embeddings, and retrieval systems.
• Familiarity with MLOps: 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 and Polish; residing in Poland.

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

AI/ML frameworks

Cloud platforms

Vector databases

MLOps

English

Polish

Autonomy

Tools

Docker

Kubernetes

Job description

Sii Poland is looking for engineers to build AI systems that run in production beyond notebooks. You will convert architectures into reliable, observable services on Azure/AWS/GCP, focusing on data quality, latency, and deployment.

You will work across generative and classical AI stacks, integrate LLMs, train models, and keep systems running. The role offers diverse projects and collaboration with AI architects and data engineers.