Senior AI Engineer

Billennium

Poland

Hybrid

PLN 180,000 - 240,000

Full time

11 hours ago
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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 a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together!

Role Purpose:

We are looking for an AI Engineer to design and develop solutions powered by Generative AI and Large Language Models (LLMs). In this role, you will build scalable backend services and develop data pipelines that support Retrieval-Augmented Generation (RAG) systems. You will work closely with Data Scientists, Product Owners, and Software Engineers to deliver intelligent, production-ready AI applications.

Responsibilities:
  • - Lead technical discovery for applied AI problems and compare approaches using real data
  • - Build evaluation sets and quality measures together with domain experts
  • - Develop structured extraction, RAG, and entity-matching capabilities
  • - Turn successful approaches into reusable Python components for applications and data pipelines
  • - Work with product and engineering teams to scope, integrate and release features
  • - Own delivery plans, progress and technical risks
Required Skills:
  • - Strong Python and experience shipping LLM or ML features to production
  • - Hands-on experience with structured LLM output and RAG use-cases Strong evaluation and error-analysis skills
  • - Experience working with complex or unstructured data
  • - Experience building reusable components that integrate with larger systems
  • - Able to own technical decisions and delivery
  • - Useful PDF, Word and Excel processing complex tables and multilingual extraction Pydantic
  • - tool-calling and observability/tracing
  • - AWS
  • - S3
  • - Airflow Kubernetes and MongoDB Atlas OCR
  • - vision-language models or GPU inference
Perks and benefits:
  • - Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
  • - Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
  • - Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
  • - Global collaboration - work with a diverse, international team.
  • - Innovative environment - be part of a forward-thinking and growth-oriented workplace.
  • - Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
  • - Team-building events including our company tradition (annual company event in Mazury).
  • - A pleasant surprise to start your journey with us in the form of a welcome pack.
Recruitment process:
  • - HR call
  • - Technical Interview
  • - Interview with the dedicated Client
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