AI Engineer

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 seeking a Senior AI Engineer who can rapidly design, build, and deliver production-grade AI components across our LLM gateways, agentic workflows, and RAG pipelines. In this role, you’ll work closely with AI Architects and Product Managers to transform high-level solution designs into scalable, high-performance systems. This position is highly hands-on, experiment-driven, and focused on fast, reliable execution.What You’ll Do:AI Systems & Workflow EngineeringImplement LLM-based workflows, RAG pipelines, retrieval interfaces, and orchestration graphs.Build and refine agentic solutions using LangChain, LangGraph, n8n, and internal orchestration tools.Implement and optimize embeddings, vector search, hybrid retrieval, and model routing.Software Engineering ExcellenceWrite clean, well-tested Python code and contribute to reusable internal AI modules.Package AI components into reusable building blocks (RAG modules, prompt patterns, agent templates).Contribute to our internal AI library to ensure solutions scale across multiple client environments.Model Performance, Evaluation & SafetyImplement automated model evaluation loops; benchmark LLMs to improve accuracy, latency, safety, and robustness.Design and run evaluation suites using Evals, PromptGuard, DSPy, and related frameworks.Ensure compliance with Responsible AI standards, including auditability, usage logs, lineage tracking, and risk flagging.Deployment, Scaling & ObservabilityOwn CI/CD pipelines for AI systems and deploy scalable inference services using Docker, Kubernetes, or Azure Container Apps.Implement telemetry, tracing, and monitoring with Langfuse or equivalent observability tools.Cross-Functional CollaborationWork with AI Architects to convert conceptual designs into executable modules and workflows.Partner with Product and Business teams to validate prototypes rapidly and drive features to production.Collaborate with platform, data engineering, and compliance teams to ensure enterprise-grade quality and readiness.What You BringStrong experience with LLM applications, RAG pipelines, embeddings, and retrieval systems.Advanced proficiency in Python, distributed systems, and containerized deployment.Hands-on experience with one or more: LangChain, LangGraph, n8n, DSPy, Langfuse.Ability to work in fast-paced, experiment-driven environments with short iteration cycles.A builder mindset: capable of turning solution designs into robust, scalable components quickly.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 callTechnical InterviewInterview with the dedicated ClientFinal decision/ FeedbackSounds interesting? Click "Apply" and have a chance to hear more!