AI/ML Platform Engineer — Orchestration & RAG (Equity)

xFigura; Boston (MA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental

Vision

Flexible PTO

High ownership

Job summary

xFigura in Boston is hiring a platform engineer to own end-to-end AI orchestration, retrieval and knowledge systems, data pipelines, and collaboration features for an AI-native design platform used by leading architects and universities.

You will ship core systems from concept to deployment, scale performance and infrastructure, and partner with leaders to shape the architecture and product roadmap while maintaining high ownership and autonomy.

Qualifications

• Track record shipping full production systems end-to-end.
• Production experience with AI/ML systems — LLM/generative pipelines, retrieval, or model serving.
• Working knowledge of data engineering fundamentals: pipelines, storage, transformation, and data quality.
• Highly effective use of AI development tools.
• Comfort operating with autonomy and ambiguity.
• Strong problem-solving and communication skills.

Responsibilities

• Design, build, and ship features and systems end-to-end
• Architect scalable frontend and backend infrastructure
• Build and own AI orchestration, RAG, and agent pipelines in production
• Build the data pipelines and ingestion infrastructure those systems depend on
• Develop canvas tooling and integrations with professional design software
• Work directly with users to translate architectural workflows into systems
• Drive technical decisions that shape how the platform evolves
• Raise engineering standards and help interview and level new engineers
• Ship fast, measure, and iterate

Job description

xFigura in Boston is hiring a platform engineer to own end-to-end AI orchestration, retrieval and knowledge systems, data pipelines, and collaboration features for an AI-native design platform used by leading architects and universities.

You will ship core systems from concept to deployment, scale performance and infrastructure, and partner with leaders to shape the architecture and product roadmap while maintaining high ownership and autonomy.