Serve as the primary architect with a deep understanding of the EIS proprietary search platform, and design and implement the roadmap to a modern, scalable cloud-native search solution
Champion the adoption of advanced search capabilities including vector embeddings, hybrid search, NLP, relevancy optimization, and end-to-end observability and telemetry for search performance
Provide expert-level guidance in tuning OpenSearch clusters, including indexing strategies, data modeling, query optimization, and data lifecycle management
EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models.
Architect solutions for 10x growth minimizing complexity.
Enhance engineer effectiveness through better tools and patterns.
Build self-healing systems for improved operational stability.
Teramind protects over 10,000 organizations from insider threats by analyzing billions of behavioral events daily and is scaling to 100,000 customers. They are a global leader in user behavior analytics, insider risk management, and workforce intelligence, empowering businesses to transform data into a strategic asset.
Architect and scale the core intelligence behind our platform.
Design, build, and optimize the pipelines and agent systems that drive live customer interactions.
Build real-time and batch pipelines for ingestion, training, and inference.
Raynmaker is building RaynBrain, an agentic AI platform for complex conversations grounded in machine learning, neuroscience, and forensic linguistics. They empower autonomous systems that interpret, adapt, and act in real time, turning raw leads into revenue without scripts or human handoffs. Raynmaker is a small team helping other small teams move faster and convert more leads.
Own Technical Excellence: Define and drive the architecture, design patterns, and engineering standards for the feature store platform.
V2 Implementation: Assist and execute the next generation of our feature store—building for scale, low-latency serving, and enterprise-grade reliability.
Guide Product Roadmap: Partner with Product and leadership to help shape the technical roadmap.
Redis created the product that runs the fast apps our world runs on. At Redis, people work with technology and build it, tell its story, and sell it to 10,000+ worldwide customers creating a faster world with simpler experiences.
Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production
Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs
Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability
AssemblyAI builds best-in-class Speech AI models that power the next generation of voice applications. They are a remote team building one of the next great AI companies where teammates define and build their company culture.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Define and plan the long-term strategy for the Data Platform.
Design and develop scalable distributed systems for data management.
Improve and add features to the ETL framework while maintaining SLAs.
Jobgether is a platform that connects job seekers with companies using an AI-powered matching process. It's a platform that ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Build and scale distributed data pipelines for large-scale time series, log data, and high-volume event streams.
Design and maintain reliable, high-performance Spark and Python workflows to support model training datasets.
Analyze and resolve performance bottlenecks related to latency, memory utilization, data skew, and throughput.
ItD blends diversity, innovation, and integrity with real business results as a consulting and software development company. Their structure rejects any strong hierarchy, empowering them to deliver excellent results as a woman- and minority-led firm.
Design, build, and maintain reliable software within a defined problem space.
Focus on strong execution, sound technical decision making, and delivering high quality software.
Support modernization and quality improvements through hands-on development and technical leadership.
Reveleer likely offers solutions in the healthcare technology sector. They value strong technical skills, code quality, and delivering high-quality software efficiently.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Build, maintain, and scale document ingestion + processing pipelines.
Integrate and productionize LLM-powered workflows.
Improve accuracy, reliability, and cost/performance of models and pipelines.
They are building the AI-native operating system for litigation. Their platform turns chaos into knowledge graphs to provide a lasting edge in high-stakes litigation.
Build an AI-powered ELT platform automating the boring stuff.
Design and scale REST APIs for high-performance data operations using AWS tools.
Collaborate across product, design, and QA to deliver features that just work.
Varicent is redefining how organizations achieve revenue success with cutting-edge SaaS solutions. They empower revenue leaders globally to design smarter go-to-market strategies and maximize seller performance. They are considered a market leader in Sales Performance Management.
Developing, maintaining, and supporting libraries and third-party integrations for the Elastic Stack.
Working closely with the Product Team and other internal stakeholders to plan and deliver work, highlight challenges, and drive progress.
Supporting users through GitHub issues, forums, and official support channels.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.
Focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows.
Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems.
Make spawning new research pipelines seamless and scalable.
The client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers by working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Define and drive multi-year technical strategy for the Claude API.
Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Their quickly growing team is composed of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Leading and growing a high-performing team of backend and machine learning engineers
Evolving the search architecture that connects users with the perfect template
Delivering measurable improvements to search quality across surfaces
Canva is a design platform redefining how the world experiences design. They have campuses in Sydney and Melbourne, and co-working spaces in Brisbane, Perth, Adelaide and Auckland.
Design and build production-grade AI systems, including RAG pipelines, multi-step agents, and LLM-powered features.
Build comprehensive evaluation and observability frameworks to measure model accuracy, grounding, and quality drift.
Create production-quality Python services to wrap AI logic into secure microservices.
League, founded in 2014, is the leading healthcare consumer experience (CX) platform powered by AI, reaching over 63 million people globally. Payers, providers, and consumer health partners use League’s platform to deliver high-engagement healthcare solutions and improve health outcomes.
Design, develop, and maintain a core Python ETL framework.
Develop and optimize an automated refresh pipeline orchestrated through AWS Batch, Lambda, Step Functions, and EventBridge.
Build Python integrations with external systems that are robust, testable, and reusable.
BlastPoint is a B2B data analytics startup that helps companies engage with customers more effectively by discovering insights in their data. Founded in 2016 by Carnegie Mellon Alumni, they are a tight-knit, forward-thinking team that serves diverse industries including energy, finance, retail, and transportation.