Staff Applied Scientist

Loopio

. Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge .

Posted 10/28/2026full-timeRemote • IndiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and deploying knowledge graphs and LLM-based agents, with a strong focus on NLP, ML, and evaluation methodologies. Proven ability to mentor teams and set technical direction while collaborating across global teams.

Highest-signal resume keywords

Machine Learning Production ExperienceNatural Language Processing (NLP)Knowledge Graph DevelopmentPython ProgrammingGraph Databases (Neo4j)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingKnowledge GraphsLLM Fine-TuningOntology DesignInformation ExtractionEntity ResolutionGraph Neural NetworksCypher Query LanguageEvaluation Design

Soft Skills

MentoringCollaborationTechnical Direction

Tools & Technologies

Neo4jGraph DatabasesAgentic Retrieval Systems

Industry Keywords

Knowledge GraphsInformation ExtractionEntity ResolutionRAGLLM-based Agents

Tech Stack

Tools & technologies

Neo4jPython

About the role

Key responsibilities & impact

Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge
Build agents and agentic retrieval systems that find, check, and use knowledge
Use real-user feedback to maintain knowledge accuracy and improve results
Define quality measurements and use them to determine what ships
Set technical direction and make build-versus-buy decisions
Collaborate with Product, Engineering, and AI teams to turn research into customer-facing features
Mentor engineers and data scientists
Establish standards for experiments and model delivery
Work closely with teams across Canada, the UK, and India
Work 11:00 am–7:30 pm IST to support overlapping global collaboration hours

Requirements

What you’ll need

8+ years applying ML in production
Strong background in NLP and LLMs
Experience with RAG expected
Experience fine-tuning LLMs and classical ML expected
Track record of designing evaluations and using them to decide what ships
3+ years building knowledge graphs in production
Experience with ontology design, information extraction, and entity resolution
Experience with graph databases such as Neo4j and query languages such as Cypher
3+ years building LLM-based agents in production
Experience with planning, tool use, and orchestration
Experience improving agent reliability through evaluation, guardrails, and human review
Strong Python and software engineering skills
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
Experience with graph neural networks or knowledge graph embeddings preferred
Published work or open-source contributions in knowledge graphs, information extraction, or agents preferred
Must be located in India
Must be legally authorized to work in India without employer sponsorship

Benefits

Comp & perks

Professional mastery allowance for learning and development
MacBook laptop
Monthly phone and internet subsidy
Work-from-home budget for home office setup
Claude account
Remote-first flexible work environment
Townhalls, AMA sessions, and company celebrations
Employee Resource Groups
Supportive remote-first culture
Ongoing feedback and regular 1-on-1s
Award-winning workplace with opportunity to make a big impact