Senior AI Engineer

Senior AI Engineer 

Role Summary 

In Digital Workplace, we are seeking a Backend Engineer with NLP specialization to join our User Support team’s agentic transformation. This role is critical to building the Agentic Content Management System (ACMS) — a modular, headless, AI-driven content management platform designed for ingesting, validating, structuring, and publishing enterprise knowledge. 

Unlike a chatbot or single-channel solution, ACMS enables a system of agents that collaboratively create, enrich, and manage content, then deliver it across multiple channels — voice, mobile, chat, conversational interfaces, articles, and knowledge bases — serving users, human agents, and digital agents alike. 

The engineer will start by delivering the Enhanced Article Co-Creation Agent, the first agent in a multi-agent system for complete knowledge article lifecycle management. It drafts first versions of knowledge content based on themes generated by the Signal Agent and performs four roles in one:  

1.                  Writer — produces plain-language, user-centric articles.  

2.                  Intent Structurer — breaks articles into machine-readable intents (e.g., goal, object, action).  

3.                  Format Converter — structures output for AI and omnichannel use (JSON, Markdown, HTML).  

4.                  Self-contained Module — optimized for agent consumption and reuse across platforms.  

Beyond this initial project, the role will contribute to designing and scaling additional agentic microservices across the ACMS ecosystem.

Key Accountabilities 

·                Microservices & APIs: Design, build, and operate production-grade microservices (FastAPI preferred or Node.js) with versioned REST contracts; uphold API-first, headless patterns for multi-channel delivery.  

·                NLP/LLM Integration: Implement pipelines for text generation, intent/metadata extraction, chunking & embeddings; integrate vector search as needed (e.g., pgvector/Qdrant/Pinecone).  

·                Data & Storage: Model and maintain Postgres schemas (articles, intents); manage migrations, performance, and data quality.  

·                Packaging & Ops: Ship Dockerized services with configuration, observability (logging/metrics/tracing), runbooks, and basic SLOs; collaborate with the hub for Kubernetes deployments.  

·                Security & Messaging: Implement OAuth2/OIDC, secure service-to-service communication, and leverage message brokers where appropriate.  

·                Pipelines & Streaming: Contribute to real-time and batch ingestion (e.g., Kafka, Airflow) and/or cloud-native functions (AWS Lambda, Azure Functions, GCP Functions).  

·                Agentic Planning: Where beneficial, apply AI planning/decision methods such as Markov Decision Processes (MDP) or Monte Carlo Tree Search (MCTS) to improve reliability and autonomy.  

·                Collaboration: Partner with product owner, platform, data, and security teams on requirements, reviews, and releases aligned to enterprise standards.  

Required Qualifications & Experience 

Backend Engineering  

·                Python (FastAPI) or Node.js; strong REST API design; Docker and containerization.  

·                Relational DB design (Postgres or equivalent); schema modeling, migrations, and query tuning.  

NLP / AI  

·                Integrating LLMs (Azure OpenAI/OpenAI/Hugging Face, etc.).  

·                Chunking, embeddings, intent extraction; familiarity with vector databases.  

Enterprise Practices  

·                Logging/monitoring, structured error handling; unit & integration testing.  

·                Git workflows; exposure to CI/CD; awareness of RBAC/security integrations.  

Highly Desirable 

·                AI Planning & Decisioning: MDP, MCTS usage in agent workflows.  

·                Big Data: Apache Spark / Hadoop for large-scale processing.  

·                Streaming & Orchestration: Kafka, Airflow, or equivalents.  

·                Platform & Scale: Kubernetes for deployment/operations; cloud (Azure/AWS/GCP).  

·                Frameworks: LangChain/Haystack as accelerators where appropriate.  

·                UI for Demos: Basic React/Next.js for lightweight internal forms.  

Ways of Working 

·                Agile delivery with tight iteration cycles and documented APIs/data models.  

·                Preference for reproducible environments and configuration-as-code. 

What do We offer:

• A flexible, hybrid work model

• Great workplace in a new modern office in Warsaw

• Career development, 360° Feedback & Mentoring programme

• Wide access to professional development tools, trainings, & conferences

• Company Bonus & Reward Structure

• VIP Medical Care Package (including Dental & Mental health)

• Holiday allowance (“Wczasy pod gruszą”)

• Life & Travel Insurance

• Pension plan

• Co-financed sport card - FitProfit

• Meals Subsidy in Office

• Additional days off

• Budget for Home Office Setup & Maintenance

• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs

• Tailored-made support in relocation to Warsaw when needed

• Please send your CV in English

You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection