Lead the design and delivery of complex, multi-component features and systems for Development Infrastructure.
Develop and maintain CI/CD tools, Docker images, and build/deploy pipelines.
Take ownership of on-call issues and coach engineers through the software development lifecycle.
Abnormal protects organizations from AI-powered cybercrime with a behavioral AI platform. 5,000 enterprises trust the platform, and the team values collaboration, continuous learning, and engineering excellence.
Build the Learning Gym, a sandboxed environment for training and evaluating AI agents on real Niural workflows with ground-truth reward signals.
Engineer verifiers, run reinforcement learning loops, and establish honest baselines to prove agent improvements generalize.
Write first-author research papers and internal technical reports, and represent the work externally through preprints and talks.
Niural is a global payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. It is a relentlessly ambitious team focused on building foundational internet infrastructure for the AI era.
Build LLM-based agents on the platform's scaffolding, integrating tool calls, internal APIs, and guardrails.
Take agents to production on AWS with containers, CI/CD, secrets, permissions, and security controls.
Define and run evals, monitor with Langfuse, and document runbooks for independent operation.
Muttdata builds innovative Data Products and Machine Learning solutions to help companies solve complex business challenges. It is a fast-growing, remote-first startup that values collaboration, continuous learning, and a positive, ownership-driven culture.
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, build, and maintain infrastructure for training, fine-tuning, and serving large language models.
Deploy and scale LLM inference services, manage GPU compute, and optimize workload scheduling and utilization.
Automate deployment workflows with infrastructure-as-code and CI/CD, and collaborate with ML engineers to move models to production.
Hire Hangar connects top talent with vetted employers and offers competitive pay and real growth opportunities. It focuses on matching remote contractors with fast-growing global companies.
Build foundational platform services for AI products, including user management, authentication, permissions, and resource access.
Own full-stack features end to end, from backend APIs to customer-facing dashboards and internal tools.
Work remotely with technical autonomy, collaborating across engineering and product teams on scalable systems.
They build foundational systems that power a suite of innovative AI products used by millions worldwide. They are a high-growth, AI-first engineering organization with an autonomous, low-bureaucracy culture.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
Build and operate backend systems serving AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
We are a platform that leverages AI for decisioning, automation, and orchestration. We are a global engineering team working across multiple countries to build reliable, scalable AI systems.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Take deep ownership of key systems and product areas, becoming the technical expert and primary point of reference.
Architect, build, and maintain highly available and scalable REST APIs and backend services.
Use agentic development workflows and AI coding tools as standard engineering practice.
This partner company builds an AI-driven e-commerce messaging platform powered by customer context and data. It is a high-growth, remote-first environment with a collaborative and supportive culture.
Build and operate production-grade agentic AI workflows for customer experience operations.
Develop MCP servers, secure integrations, and shared platform capabilities on AWS.
Establish evaluation, observability, and governance practices for reliable AI systems.
A technology company focused on integrating AI-powered workflows into customer experience operations. They foster a collaborative, inclusive remote culture emphasizing production-grade engineering, rapid prototyping, and mentorship.
Take deep ownership of systems and product areas, becoming the go-to technical expert for what you own.
Architect, build, and maintain highly available, scalable REST APIs and backend services across distributed systems.
Build agentically with AI coding tools, staying at the forefront of emerging AI tooling and practices.
Postscript is an AI messaging platform for Shopify brands, helping e-commerce marketers drive revenue through SMS marketing and AI features. Backed by Greylock and Y Combinator, the company has been fully remote since 2018 and serves 20,000+ Shopify brands with a culture of ownership and AI-first development.
Own the access layer and integration architecture for the Applied AI team's Intelligence Core and external agentic-commerce products.
Define versioned schemas, signed records, authority lease services, and tamper-evident logging for verifiable agent actions.
Lead security-first engineering practices, including least-privilege access, zero raw PII, and evaluation of advanced agent frameworks.
Zerohash is a crypto and stablecoin infrastructure platform that powers digital money services for banks, brokerages, and fintechs. Founded in 2017 and backed by over $280 million in funding, the company is a regulated, compliance-first organization trusted by major financial brands.
Lead deployment and configuration of x86 servers, Linux, virtualization, and core infrastructure services for AI clusters.
Optimize high-performance storage platforms like WEKA and VAST, and validate performance, resilience, and integration.
Provide Tier 3 escalation and automate provisioning, identity, and infrastructure-as-code using Ansible, Terraform, and Python.
Highrise AI is a GPU-native infrastructure platform delivering scalable compute for modern AI workloads across dedicated clusters, managed cloud, and confidential environments. As a subsidiary of Hut 8 Corp., it operates next-generation GPU clusters with disciplined operations and a growing global team of engineers and builders.
Own and improve the platform that processes customer jobs, focusing on speed, reliability, and resource efficiency.
Partner with machine learning teams to serve models effectively and integrate them into production workflows.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
They build an AI document processing product and operate its platform infrastructure. Company size and culture are not specified, but engineers work closely with ML teams and own platform reliability.
Build the component layer around our layout synthesis engine, including API contracts, services, and evaluation gates.
Turn model retraining into a one-command job with built-in benchmarks and readable results for the whole team.
Own latency and cost budgets for learned capabilities and partner with infrastructure engineers on MLOps and deployment.
Higharc is a VC-backed startup that is changing how new homes are designed and built using spatial AI and generative floor plan technology. The company is fully remote, has raised over $175M, and values flexibility, collaboration, and asynchronous deep work.
Design and ship backend features that shape a global platform, making sound architectural trade-offs.
Mentor engineers, define standards, and drive quality, security, and operational excellence.
Integrate agentic AI into production workflows and collaborate with PMs and designers to deliver user value.
GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity and accelerate digital transformation. Trusted by more than 50 million registered users and over half of the Fortune 100, GitLab fosters a remote-first, AI-driven culture where every voice is valued.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Define the technical direction and architecture for a rapidly expanding GPU cluster platform.
Lead and mentor a team of senior infrastructure engineers while staying hands-on with complex systems.
Establish security strategies and operational practices to ensure reliable, efficient AI experiments.
This organization powers cutting-edge AI research through large-scale GPU cluster infrastructure. It fosters a collaborative, fast-moving environment where engineers work closely with researchers.