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Senior, ML Engineer - Auto Tagging
Build ML pipelines to extract and tag rare driving scenarios from petabytes of truck sensor data, enabling safer autonomous trucking through structured scenario libraries.

AI Agent Engineer
Design, develop, and deploy AI agents on Databricks, build evaluation frameworks with MLflow, and drive continuous agent quality improvement for an electric vehicle maker. Core tech: Databricks (Mosaic AI), MLflow, Python, SQL, Delta Lake.
Senior AI Data Engineer
Overview In this role you will implement Comply’s semantic layer, turning ontological models into production-ready knowledge graphs, vector search infrastructure, and LLM-powered pipelines. You’ll own semantic layer…
Principal Software Engineer - Vector Search - Elasticsearch
Principal Software Engineer at Elastic to lead vector search improvements in Elasticsearch, designing and implementing new features and algorithms in Java for large-scale search systems.
Agentic AI Engineer
Builds autonomous AI agents using Elastic Stack tools to automate complex business tasks, integrating LLMs, RAG, and cloud infrastructure while ensuring security and observability.
Partner Solutions Architect
Partner Solutions Architect at Elastic designs and implements tailored AI-powered search and observability solutions with key partners, bridging technical capabilities to business outcomes.
Partner Solution Architect - LATAM (Portuguese/Spanish/English-speaking)
Partner Solution Architect for LATAM, driving growth with and through partners, architecting leverage, and co-innovating on repeatable solutions. Core technologies: Elastic Search AI Platform, cloud-based solutions for search, security, and observability.
Partner Solutions Architect
Partner Solutions Architect at Elastic enables partners to sell and deliver Elastic’s Search AI platform, building technical capacity through enablement, certifications, and co-innovated solutions.
Senior Software Developer - Performance Tuning - Elasticsearch
Senior Software Developer on the Elasticsearch Performance team, contributing to performance engineering initiatives, optimizing Elasticsearch performance, and working with distributed systems and AI-assisted optimization harnesses.
Senior Software Engineer - Performance Tuning - Elasticsearch
Senior Software Engineer on the Elasticsearch Performance team, focused on profiling, benchmarking, and optimizing distributed search systems using Java/JVM.
Principal Software Developer - Performance Tuning - Elasticsearch
Principal Software Engineer leading performance tuning and optimization of Elasticsearch—profiling bottlenecks, building benchmarks, and driving architectural improvements across distributed, serverless, and vector search workloads using Java/JVM internals.
Principal Software Engineer - Performance Tuning - Elasticsearch
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.
Principal Software Engineer - Performance Tuning - Elasticsearch
Leads architectural and code-level performance engineering initiatives for Elasticsearch, driving optimization, predictability, and scalability in distributed systems using Java, JVM internals, and performance tools like flamegraphs and JMH.
Senior Software Developer - Search Algorithms - Elasticsearch
This role is for a Senior Software Developer to join the Elasticsearch Search Relevance team, focusing on improving search engine performance, vector search capabilities, and Lucene integration. The position involves writing idiomatic Java, designing search algorithms, and collaborating asynchronously within a globally distributed team.
Senior Software Developer - Vector Search - Elasticsearch
Senior Software Engineer leading vector search enhancements in Elasticsearch, designing new search features, optimizing relevance, and collaborating globally on open-source contributions.
Senior Software Engineer - Search Algorithms - Elasticsearch
Senior Software Engineer on the Elasticsearch Search Relevance team, designing and implementing search algorithms and vector search capabilities (HNSW, IVF) primarily in Java, while contributing to the Lucene codebase and collaborating with a globally distributed team.
