Senior AI Engineer: End-to-End LLM & Production Systems

Evertz Microsystems Limited; Polska; Vor Ort; PLN 300.000 - 420.000; Vollzeit

Zusammenfassung

Evertz Microsystems Limited is seeking a Senior AI Engineer to build and run production AI systems across its portfolio. The role is hands-on, owning solutions end to end from problem framing with domain experts through deployment and support.

You will prototype, deploy, and monitor AI applications, build agents and RAG pipelines, and integrate AI with engineering tools, manufacturing, and business systems via APIs. Strong Python, LLM, and Azure experience are essential.

Qualifikationen

• 5+ years of software engineering experience, including production LLM apps.
• Strong Python and backend skills.
• Hands-on with LLM APIs and tool-enabled agents (LangChain, LangGraph, or equivalents).
• Experience deploying cloud applications, preferably on Azure, with CI/CD.
• Solid ML fundamentals: data processing, feature engineering, model training and evaluation.

Aufgaben

• Own AI applications end-to-end: prototyping, integration, production deployment, monitoring, and support.
• Build agents, multimodal applications, LLM workflows, and RAG pipelines.
• Turn inputs into grounded AI capabilities, including ingestion/parsing pipelines.
• Integrate AI with engineering tools, manufacturing/test systems, and business apps via APIs and MCP servers.
• Apply classical ML and deploy models alongside LLM systems for production.
• Develop repeatable evaluations to improve accuracy, reliability, latency, and cost.

Kenntnisse

Python

Backend development

LLM integration

Prompt design

API design

SQL/PostgreSQL

Azure

Tools

LangChain

LangGraph

PyTorch

NumPy

pandas

Jobbeschreibung

Evertz Microsystems Limited is seeking a Senior AI Engineer to build and run production AI systems across its portfolio. The role is hands-on, owning solutions end to end from problem framing with domain experts through deployment and support.

You will prototype, deploy, and monitor AI applications, build agents and RAG pipelines, and integrate AI with engineering tools, manufacturing, and business systems via APIs. Strong Python, LLM, and Azure experience are essential.