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 Engineering

• Implement 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 Excellence

• Write 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 & Safety

• Implement 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 & Observability

• Own 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 Collaboration

• Work 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 Bring

• Strong 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 call

• Technical Interview

• Interview with the dedicated Client

• Final decision/ Feedback