Senior AI Engineer: LLMs, RAG, & Production ML (Remote)

Billennium; Poland; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Veterinary package

Language lessons

Shopping vouchers

Flexible working hours

Remote/hybrid work options

Career development opportunities

Company events and team-building

Job summary

Billennium is seeking an AI Engineer to design and build Generative AI and LLM-powered solutions. You will develop scalable backend services and data pipelines to support Retrieval-Augmented Generation (RAG) systems, collaborating with Data Scientists, Product Owners, and Software Engineers to deliver production-ready AI applications.

Responsibilities include leading technical discovery, building evaluation sets, developing structured output with LLMs, and turning approaches into reusable Python

Qualifications

• Proven experience shipping LLM/ML features to production.
• Experience with structured LLM outputs and RAG use-cases.
• Experience working with complex or unstructured data.
• Ability to build reusable components that integrate into larger systems.

Responsibilities

• Lead technical discovery for applied AI problems using real data.
• Develop evaluation sets and quality measures with domain experts.
• Develop structured extraction, RAG, and entity-matching capabilities.
• Turn successful approaches into reusable Python components for apps and data pipelines.
• Work with product and engineering teams to scope, integrate and release features.

Skills

Python

LLMs

RAG

Pydantic

AWS

S3

Airflow

Kubernetes

MongoDB Atlas

OCR

GPU inference

Observability

Tools

AWS

S3

Airflow

Kubernetes

MongoDB Atlas

OCR

Job description

Billennium is seeking an AI Engineer to design and build Generative AI and LLM-powered solutions. You will develop scalable backend services and data pipelines to support Retrieval-Augmented Generation (RAG) systems, collaborating with Data Scientists, Product Owners, and Software Engineers to deliver production-ready AI applications.

Responsibilities include leading technical discovery, building evaluation sets, developing structured output with LLMs, and turning approaches into reusable Python