Senior AI Engineer

New

EvertzBroadcast media

Workplace type: remote; Country code: PLContractSenior

Salary24,000 - 30,000 PLN per month

Apply NowOpens the employer's application page

Job Details

Have 5+ years of software engineering experience, including delivering and supporting production LLM applications beyond proof of concept.
Bring strong Python and backend skills, including API design, testing, debugging, and maintainable software.
Have hands-on experience with LLM APIs, prompt design, and tool-enabled agents such as LangChain, LangGraph, or equivalents.
Have practical RAG experience with embeddings, vector and hybrid search, reranking, and measuring retrieval and answer quality.
Have solid ML fundamentals, including data processing, feature engineering, model training and evaluation, and production deployment of non-LLM models.
Have experience with PyTorch, scikit-learn, NumPy, and pandas.
Have experience deploying cloud applications, preferably on Azure, with containers, CI/CD, infrastructure as code, and monitoring.
Have strong SQL skills, preferably PostgreSQL.
Understand authentication, access control, and secure data handling.
Be able to explain technical trade-offs to technical and non-technical audiences, contribute independently, and mentor others.
Meet the stated English language level: B2.

Own AI applications and reusable services from prototyping and integration through production deployment, monitoring, and support.
Build agents, multimodal applications, LLM workflows, and RAG pipelines using prompt design, tool calling, structured outputs, embeddings, and hybrid search.
Create ingestion and parsing pipelines that turn datasheets, schematics, test logs, media, and business data into grounded AI capabilities.
Integrate AI with engineering tools, manufacturing and test systems, and business applications through APIs and MCP servers.
Apply classical ML to classification, anomaly detection, computer vision, and audio processing, and deploy and monitor those models.
Build repeatable evaluations to improve accuracy, reliability, latency, and cost.
Develop and operate Python services on Azure using PostgreSQL, Terraform, containers, CI/CD, and observability.
Propose architectures and reusable patterns, evaluate models and tools, collaborate with stakeholders, and mentor engineers through code and design reviews.

View Full Description & ApplyYou'll be redirected to the employer's site