Lead technical architecture and drive complex projects.
Write code, build prototypes, and contribute throughout the development lifecycle.
Mentor engineers through code review and technical discussions.
Thunderbird is one of the world's most trusted open-source email applications, empowering over 20 million people. Our small but growing distributed team includes more than 65 people across seven countries.
Build responsive user interfaces with React and TypeScript.
Develop scalable APIs and backend services using Python and FastAPI.
Deploy on GCP with Cloud Run, integrate Vertex AI, and manage CI/CD.
The hiring company is an enterprise client seeking a Full Stack Engineer for a high-velocity contract engagement. The culture emphasizes self-starting, full-stack ownership, and cloud-native best practices in fast-paced environments.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Lead the engineering strategy and execution for evaluations of AI agents, owning the core evaluation platform.
Design scalable evaluation infrastructure, APIs, workflows, and production systems across software categories.
Mentor and develop a team of engineers as the technical authority on agentic evaluation.
This company focuses on building credible, scalable evaluations of AI agents from software vendors. It operates as a fully remote, inclusive team with a flexible culture and a focus on professional growth.
Design and build enterprise-grade agentic AI platforms and LLM-powered applications.
Define reference architectures for RAG pipelines, multi-agent orchestration, and enterprise integrations.
Implement observability, guardrails, and responsible AI practices for production deployment.
Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies on digital adoption. It employs world-class professionals known as 'Brillians' and has earned Great Place to Work® certification repeatedly.
Develop and evaluate deep learning models for feature detection, matching, depth estimation, and visual localization.
Own data preparation, training workflows, and evaluation of learned components for vision-based navigation.
Partner with state estimation and deployment engineers to integrate and optimize models for onboard systems.
Shield AI is a venture-backed defense-tech company developing intelligent systems to protect service members and civilians, with products like Hivemind autonomy software and V-BAT aircraft. It has offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, actively supporting operations worldwide.
Automate quality control for training data produced by companies using the platform's infrastructure.
Build QC systems grounded in human judgment, define quality standards, and design experiments.
Partner with data vendors to debug quality issues and feed learnings back into infrastructure tools.
The company is a fast-growing AI infrastructure startup focused on reinforcement learning environments and post-training data. With a roughly 15-person engineering team of published researchers and experienced AI practitioners, the culture is fast-paced, unstructured, and research-driven.
Build product-facing tools for browsing environments, inspecting trajectories, and understanding model behavior.
Develop vendor-facing workflows to create, submit, test, and iterate on RL environments and training data.
Create dashboards and observability tools surfacing environment quality, eval results, and pipeline health.
This company builds a reinforcement learning data engine for frontier AI labs, creating and iterating on training data. They have offices in San Francisco and Singapore, offering a culture that values independence and high agency.
Design and maintain firmware for wearable sensing devices, including sensor integration and real-time data acquisition.
Build reliable device-to-cloud communication and AWS infrastructure for large-scale multimodal data.
Develop APIs and data pipelines in Python, and remotely deploy, monitor, and debug the device fleet across real-world collection sites.
An early-stage Physical AI company building the data layer for real-world robot operations. They capture synchronized vision and touch data from human work using wearable sensors to create high-fidelity training datasets.
Design, build, and ship production agents end to end, including tools, prompts, context assembly, and frontend experiences.
Maintain evaluations and instrument production to measure acceptance, latency, and cost per agent.
Work with founders, product, and design to solve ambiguous engineering problems across the full stack.
Relativity is a legal data intelligence company building AI-powered software for litigation and investigations. Gavel is a small, founder-led team within Relativity focused on Word-based legal drafting, with a collaborative and innovative culture.