Design and adapt the technical strategy for search within Vannevar’s products, including full-text search, vector databases, LLMs, NLP, and relevance algorithms.
Improve both search latency and relevance while collaborating with product engineers, designers, and mission strategists.
Research and apply emerging technologies and best practices in search/information retrieval to improve index quality, freshness, and retrieval performance.
Vannevar is a defense technology company building AI to deter adversaries. We are a small agile team combining world-class engineers with veteran strategists, and in just three years we grew from $3M to $80M in ARR, achieving profitability and unicorn status.
Design, build, and maintain backend services for the data layer that stores and serves Camunda 8's process data, spanning relational databases and Elasticsearch/OpenSearch.
Own the end-to-end delivery of engineering initiatives, working with Product Management to break down requirements into concrete solution designs.
Help evolve how we process, retain, and expose process data, so customers can work with their data the way they need to.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda is fully remote and global, transforming into an AI-first organization.
Develop, optimize, and maintain production-grade systems supporting agentic search and AI-powered retrieval.
Own and improve search relevance and retrieval components for systems serving real users.
Collaborate with AI research teams to measure model improvements and translate research into production capabilities.
The company is a technology firm building next-generation agentic search and AI-powered retrieval systems. It offers a remote, asynchronous work environment with a focus on engineering excellence and collaboration with AI research teams.
Design and scale high-performance backend systems for real-time data processing and critical API services.
Work across Go and Node.js to build reliable, scalable infrastructure.
Take ownership of complex technical problems from investigation to deployment.
The company builds technology to help leading organizations detect and prevent online fraud. It operates with a fully remote, asynchronous, and collaborative engineering culture.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.