Staff Applied Scientist

Overview

Staff Applied Scientist to build the knowledge and AI foundation behind Loopio's products, owning the science behind knowledge graphs and AI agents and setting technical direction for applied ML across the team.

What you'll do

• Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge.
• Build agents and agentic retrieval systems that find, check, and use that knowledge.
• Use feedback from real users to keep knowledge accurate and improve results over time.
• Define how quality is measured, and use those measures to decide what ships.
• Set technical direction and make build vs. buy calls on tools and approaches.
• Work with Product, Engineering, and other AI teams to turn research into features customers use.
• Mentor engineers and data scientists, and set the standards for how the team runs experiments and ships models.

What you'll need

• 8+ years applying ML in production.
• Strong background in NLP and LLMs.
• Experience with RAG is expected.
• Experience with finetuning LLM and classical ML is expected.
• Track record of designing evaluations and using them to decide what ships.
• 3+ years building knowledge graphs in production, including ontology design, information extraction, and entity resolution.
• Experience with graph databases (e.g., Neo4j) and query languages like Cypher.
• 3+ years building LLM-based agents in production, including planning, tool use, and orchestration.
• Experience making agents reliable through evaluation, guardrails, and human review.
• Strong Python and software engineering skills, with experience shipping ML services to production.
• Experience setting technical direction and mentoring senior engineers and data scientists.
• Ability to explain technical trade-offs in terms of customer value.

Nice to have

• Experience with graph neural networks or knowledge graph embeddings.
• Published work or open-source contributions in knowledge graphs, information extraction, or agents.

Details

• Remote-first role; work from anywhere in India.
• Work hours are 11 am - 7:30 pm IST to overlap with teams in Canada and the UK.
• Close collaboration with teams across Canada, the UK, and India.