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Full Stack Engineer building and scaling AI-powered workflow features end-to-end using TypeScript, React, Node.js, PostgreSQL, and Neo4j.
Design and maintain data architectures for a graph-RAG platform—defining schemas and taxonomies, building ETL pipelines from enterprise sources like SharePoint, and keeping knowledge graphs in sync. Core tech: Python, Neo4j, Postgres/Supabase, Airflow.
Design and maintain the data structures and ETL pipelines behind a graph-RAG platform, modeling knowledge domains in Neo4j/Postgres and building ingestion pipelines from enterprise sources like SharePoint using Python and Airflow.
Cloud and DevOps Engineer architecting, automating, and maintaining secure AWS infrastructure with Terraform, Kubernetes, and CI/CD pipelines to support lunar and space missions in a hybrid Westminster, CO role.
Build and ship AI platform features on top of MariaDB’s relational database, integrating agent frameworks (LangChain, CrewAI) and vector/RAG systems to power enterprise AI applications with multi-cloud deployment.
Principal Software Development Engineer at Zscaler designing and scaling backend microservices in Go, event-driven pipelines with Kafka, and high-performance data models across MySQL, Neo4J, and ElasticSearch to secure cloud-native Zero Trust Exchange infrastructure.
Senior SRE building and operating secure, scalable cloud infrastructure on AWS (Kubernetes, Terraform, Docker) with observability via Datadog and security/compliance work on a remote user-research SaaS platform.
Designs secure data pipelines and graph analytics for government projects using Neo4j, Spark, SQL, and Databricks to enable AI-driven insights.
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
The Senior Data Analyst will work within an engineering team to ensure data integrity for a Knowledge Graph by validating datasets, performing root cause analysis, and applying statistical methods. The role requires proficiency in PostgreSQL, Databricks, and graph database technologies.
Build and optimize the core storage engine, transaction handling, and indexing for the world’s leading graph database using Java or C-style languages.
Senior Data/AI Engineer designing Lakehouse data pipelines, real-time SSE streaming APIs, and AKS microservices on Azure Databricks using Spark, Python, and SQL to power research and analytics products.
Builds and deploys data-driven solutions for government intelligence missions, combining software engineering, analytics, and data modeling to extract insights from large-scale datasets and support mission-critical decision-making.
Sr. Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
The AI/ML Engineer will design, develop, and deploy AI solutions, focusing on large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems to support healthcare pharmacy and benefit services. The role involves collaborating with cross-functional teams to integrate AI capabilities and optimize model performance using Python and cloud-based ML platforms.
Hands-on AI/ML Senior Specialist in Cyncly's Kochi AI CoE, building and fine-tuning on-premises LLMs, RAG pipelines, embeddings infrastructure, and vector search across product use cases using Python, Hugging Face, vector databases, and Kubernetes.
Leads design and development of security automation solutions and data pipelines within FNF's ORCA program, using Python, Kubernetes, Terraform, orchestration platforms, and AI/LLM integration.
The Senior Lead Data Scientist will architect graph-based data models and develop predictive forecasting models to support identity resolution and operational decision-making. The role requires deep expertise in graph technologies, Python, and production-grade machine learning to build scalable analytical solutions.
The Senior Data Scientist will develop and implement machine learning and generative AI solutions, including RAG applications and LLM fine-tuning, to drive business insights at Manulife. The role involves collaborating with cross-functional teams to deploy models on cloud platforms like Azure and Databricks.
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