AI Engineer
Core
Lead the design and implementation of the AI foundation for a next-generation enterprise CPQ platform, transforming legacy application logic into an AI-native solution.
Role type
Senior AI Platform Engineer (LLM & Data Architecture)
Builds
AI-native CPQ platform with intelligent decision-making, automation, and scalable enterprise solutions
Domain
Enterprise Software / CPQ / AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Prompt Engineering, LLM Integration, MCP (Model Context Protocol), Vector Databases, JSON Schema Design, Data Modelling for AI, Data Quality Assessment, Analytical Data Design, AI Toolchain Architecture
Preferred skills
C# / .NET Core, JavaScript / TypeScript, SQL (Oracle, MSSQL, PostgreSQL, ClickHouse), Docker / Kubernetes, Grafana, RAG Architecture, Fine-tuning & Evaluation Frameworks, Event-driven Architectures, Enterprise AI Platforms, Data Quality Tooling
Technologies
LangChain, LlamaIndex, Claude, GPT, GitHub Copilot, Pinecone, Weaviate, pgvector, Oracle, MSSQL, ClickHouse, EKS, RAGAS, DeepEval
Responsibilities
Design and own data foundations for AI by modelling costing structures and bid history; Build data profiling and quality assessment pipelines; Design LLM-based replacements for rigid legacy business logic; Build MCP-based AI skills for structured access to services and databases; Design and implement AI constitutions and guardrails; Develop vector-based knowledge retrieval systems; Create AI-augmented developer tooling; Design and build an AI-driven workflow engine to replace complex legacy orchestration patterns
Seniority
Senior, hands-on IC with architectural leadership