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Builds and maintains Elastic’s AI integrations (MCP server, CLI, skills) in Go/Rust to connect Elastic with third-party AI ecosystems and developer tools.
Leads architectural and code-level performance engineering for Elasticsearch, optimizing search, observability, and AI retrieval systems to ensure scalability, predictability, and high performance across distributed environments.
Leads Elastic’s global privacy and data governance program, advising on compliance, AI governance, and risk mitigation while managing a team of privacy professionals and collaborating cross-functionally.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
The Consulting Architect will lead the implementation and design of Elastic's security and search solutions for enterprise customers. This role involves hands-on technical delivery, architectural planning, and collaborating with sales and engineering teams to drive customer success.
The AI QA & Evaluation Engineer will design and implement testing frameworks, evaluation rubrics, and CI/CD pipelines to validate the accuracy, reliability, and safety of GenAI solutions. The role involves collaborating across engineering teams to monitor model performance, mitigate hallucinations, and ensure compliance with data governance standards.
Lead Elastic’s global security services practice, designing security offerings, guiding complex implementations, and aligning solutions with product roadmaps and industry trends.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.
The Principal Platform Engineer will manage and optimize compute resources for Elastic's cloud and serverless workloads. The role involves developing capacity models, operating autoscaling frameworks, and collaborating with cross-functional teams to ensure seamless scalability across global cloud regions.
Senior Solutions Architect (pre-sales) advises clients on Elastic’s search/AI platform, bridges sales/engineering, and drives enterprise adoption by designing tailored architectures to solve business problems.
The Developer Relations Engineer will build technical documentation, benchmarks, and reference architectures to help users scale AI workloads on Andromeda's infrastructure. This is a hands-on engineering role that involves writing code, debugging production issues, and shaping the developer experience for AI labs and infrastructure teams.
The Senior Data Scientist will build and deploy agentic AI systems to analyze geopolitical and financial risk data. The role involves developing RAG pipelines, designing multi-agent workflows, and managing the full lifecycle of production systems using Python, SQL, and AWS.
Builds and explores AI innovations, collaborates with China-based tech partners, and integrates AI tools into software development under executive guidance.
Design and maintain multi-cloud infrastructure for enterprise AI agents, focusing on reliability, security, and observability across AWS, GCP, and Azure.
The Senior Data Scientist will transform large volumes of data into strategic insights for the healthcare and pharmaceutical sector. The role involves building statistical models and machine learning solutions using Python, SQL, and Databricks to support business decision-making.
Build and operate cloud infrastructure, Kubernetes environments, GitOps deployment tooling, and observability systems for an AI-powered insurance underwriting platform.
Charm Security is seeking a Senior Full Stack Engineer to build AI-powered fraud prevention systems for financial institutions using React, Node.js, and event-driven architectures. You will develop end-to-end features, integrate AI agents, and manage real-time data pipelines to protect banking customers.
Builds and maintains telecom protocols (Diameter, SS7, GTP) to support Telnyx’s AI-powered voice agent infrastructure, ensuring scalability and reliability of voice services.
Builds scalable microservices in Go and Python, deploys them on Kubernetes, and integrates AI/ML and LLM features into production systems.
Analyze TikTok’s data to extract insights and support decision-making using SQL, Python, and visualization tools.
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