Design, implement, and maintain high-speed GraphRAG ingestion pipelines transforming relational data and unstructured ESG reports into operational graph databases.
Build automated entity resolution pipelines using NER and entity linking to unify vendor profiles, SKUs, and facility coordinates into canonical graph nodes.
Partner with AI/ML engineers to build low-latency GraphRAG retrieval layers, optimizing Cypher and SPARQL queries and implementing NL2Query tools for autonomous agents.
EcoVadis is the leading provider of business sustainability ratings, analyzing data to build actionable scorecards for companies. The company is backed by an international team of experts and promotes a culture of smart work, fun, and impact.
Own the technical customer relationship throughout the full lifecycle, from discovery and solution design through pilots, production deployment, and expansion.
Design target architectures using multimodel data platforms, including graph schemas, query and traversal patterns, knowledge graphs, and GraphRAG retrieval strategies.
Build reference implementations and prototypes covering graph models, data connectors, GraphRAG pipelines, APIs, tool calling, and AI agent orchestration.
Our partner is a company specializing in multimodel data and GraphRAG capabilities for enterprise AI applications. They are a growing organization with a focus on cutting-edge AI, graph, and contextual data infrastructure, offering a remote work environment with collaboration across experienced teams.
Work closely with enterprise customers to implement graph-powered solutions from design to production roll-out.
Design graph data models and architectures to support complex relationships and high-performance querying.
Act as a trusted technical advisor, providing guidance on best practices for graph technology and AI integration.
Neo4j is the graph intelligence platform that transforms data into knowledge to power next-generation AI and intelligent applications. The company has over 600 employees, is valued at over $2Bn, and serves 84% of the Fortune 100.
Design, build, and operate end-to-end data infrastructure and solutions for APIs, containerized applications, alerting/reporting, and graph visualizations.
Model and deploy relational, document, and graph databases for investigative workflows and large-scale network analysis.
Build resilient ETL/ELT pipelines that ingest, normalize, and reconcile structured and semi-structured data from multiple sources.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. They operate as a fast-paced, nimble, global remote company with a culture of open debate and logic.
Design and deploy AI-driven applications, RAG pipelines, and agentic systems for real-world enterprise use.
Build semantic search and vector-based retrieval layers using LangChain, LlamaIndex, and embedding models.
Process large-scale datasets with Python, PySpark, and SQL, and design scalable data warehouse architectures.
They build next-generation intelligent, agentic AI systems that can reason, retrieve information, and execute complex workflows. They focus on innovation, remote work, and employee growth, offering a collaborative and inclusive environment.
Lead the design and optimization of modern data architectures for AI-driven applications.
Manage hybrid database environments and implement ETL/ELT strategies.
Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.
Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Work directly with external partners to understand technical use cases and guide integrations with APIs and datasets.
Design, build, and ship production application and integration code against a PostgreSQL-backed GraphQL API.
Collaborate with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models and tooling.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. They offer at-home EEG and cardiopulmonary platforms for clinical development and precision diagnostics, and believe a diverse team builds more robust systems.