Summary
✨ AI‑Generated
Join a hands-on AI engineering team building production systems from backend APIs and intelligent workflows to user-facing experiences. You will work with modern LLM infrastructure, agentic workflows, RAG pipelines, enterprise automation, observability, and cloud-native deployment technologies. The role suits an engineer who values rapid delivery, production quality, reusable components, and scalable solutions.
Highlights
Hands-on opportunity to build production-grade AI solutions end to end, with modern LLM, agentic AI, RAG, automation, and cloud-native technologies. The role emphasizes rapid delivery, engineering quality, reusable components, collaboration, and scalable solutions across diverse use cases.
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!
We are looking for an AI Engineer who enjoys building end-to-end AI solutions-from backend services and APIs to intelligent workflows and user-facing experiences.
You’ll work on real production AI systems using modern LLM infrastructure, agentic workflows, RAG pipelines, and enterprise automation tooling.
This is a hands-on engineering role focused on rapid delivery, production quality, and reusable AI components that scale across multiple use cases and clients.
Our AI Engineering Stack
Microsoft Copilot+Copilot StudioVS Code+GitHub CopilotLangChain/LangGraphFastAPIn8nPostgreSQL+pgvectorRedisPortkey (LLM Gateway)Langfuse (Observability)DeepEval/RAGASDocker + Kubernetes (AKS)Terraform
What You’ll Do
Build AI services and workflows in Python (FastAPI preferred)Develop and optimize RAG pipelines using pgvector and retrieval best practicesImplement agentic workflows with LangChain/LangGraphIntegrate AI systems with external APIs, tools, and enterprise workflowsBuild lightweight AI user experiences (chat/task/internal tooling)Work with Microsoft Copilot and Copilot Studio solutionsAdd observability, tracing, and evaluation for production AI systemsContribute to CI/CD, deployments, testing, and reusable internal AI components
What We’re Looking For
2-4+ years of experience as a Software Engineer, AI Engineer, or ML EngineerStrong Python engineering skills and API development experienceExperience with RAG systems and vector searchHands-on experience with LangChain and/or LangGraphExperience delivering user-facing AI featuresComfortable working with REST APIs and production systemsFamiliarity with observability/debugging tools (Langfuse or similar)
Nice to Have
Experience with Microsoft Copilot/Copilot StudioBasic frontend/UI skills (React, Chainlit, etc.)Experience with n8n or workflow automation toolsAzure/AKS/Terraform exposureUnderstanding of enterprise automation/RPA concepts
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 to professional development and learning opportunities, including perks from 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-participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.Team-building events, including our company tradition-an annual company event in Mazury.A welcome pack to start your journey with us on a positive note.
Recruitment process
HR callInterview with the dedicated ClientFinal decision/Feedback
Sounds interesting? Click "Apply" and have a chance to hear more!
