Senior AI Engineer (RAG)

Summary

Andersen is hiring a Senior AI Engineer (RAG) to build AI features and scalable infrastructure for a cloud platform, enabling intelligent workflows, analytics, and reliable system performance.

The customer is an international company delivering professional and technology-enabled solutions that support effective collaboration, structured communication, and operational efficiency for organizations. It operates in a fast-growing environment, focusing on scalability, security, and continuous improvement while developing digital platforms used by diverse clients worldwide.

The project is focused on enhancing a secure, cloud-based board management platform with intuitive meeting tools, real-time collaboration, and advanced analytics. It also includes building and maintaining scalable AI infrastructure, orchestration patterns, and observability to ensure reliable and intelligent platform performance.

Responsibilities

• Translating product requirements into AI workflows and quality criteria.
• Designing, implementing, and optimizing prompts using LangFuse.
• Building evaluation datasets from real customer scenarios.
• Establishing quality gates and measurement systems (precision, recall, accuracy).
• Setting up and maintaining LangFuse for observability and prompt experimentation.
• Tuning workflows based on production telemetry and evaluation results.
• Partnering with Product and QE on acceptance criteria and test strategy.

Requirements

• Experience in software engineering for 6+ years, including building and operating production systems.
• Experience in designing and scaling enterprise RAG or semantic search systems for 3+ years.
• Bachelor's degree in computer science, Engineering, IT, or equivalent experience.
• Experience with .NET/C# and building production applications on .NET Core with deep expertise.
• Experience with embeddings, vector databases, and semantic search (indexing, hybrid retrieval, ranking), Azure AI Search preferred.
• Experience in designing retrievals for complex, multimodal content (PDFs, transcripts, structured data).
• Experience in evaluating and improving retrieval systems, including build vs. optimize vs. rebuild decisions.
• Experience with document processing pipelines (chunking, metadata, multimodal handling, hybrid search).
• Experience with RAG evaluation methods (automated evaluations, LLM-as-judge, benchmarking).
• Experience with observability and tracing in AI/search systems (e.g., OpenTelemetry, Arize, Langfuse).
• Understanding content safety and PII handling data pipelines.
• Experience with LLM integration and prompt engineering for RAG (context management, grounding).
• Ability to scale technical patterns across teams via hands-on work, reviews, and documentation.
• Experience with AI-assisted development tools (e.g., Claude Code, PlayerZero).
• Strong communication skills, including explaining trade-offs and documenting complex systems.
• Level of English – from Intermediate+ and above.

Desired skills

• Experience with Azure Content Understanding or Azure AI Document Intelligence for multimodal document processing, including extraction from PDFs with complex layouts and audio/video content.
• Familiarity with Microsoft Semantic Kernel or comparable orchestration frameworks and how RAG pipelines integrate with broader agentic workflows.
• Experience operating in regulated or enterprise environments with strict compliance requirements (SOC 2, ISO 27001, HIPAA, GDPR).
• Background in SaaS platforms with multi-tenant data isolation and retrieval requirements.
• Experience working across multiple product lines or platform teams, shaping shared patterns adopted beyond a single codebase.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

Join us!

Lokalizacje

Worldwide