Design and build shared platform capabilities, owning architecture and delivery of reusable backend services and integrations.
Direct implementation by writing specifications and delegating to AI agents, stepping into code when complexity demands.
Engineer for reuse, compatibility, and testability, owning testing strategy and building reliability and observability into the platform.
ComPsych is the worldwide leader in organizational mental health, well-being, and absence management, dedicated to igniting human potential in workplaces across the globe. With over 40 years of experience, they serve more than 75,000 customers worldwide, touching over 160 million lives, and 40% of the Fortune 500 choose them for their mental health needs.
Build and operate shared infrastructure for AI platform capabilities, including model gateways and cloud AI services.
Shape product strategy and execution across disciplines, developing scalable and performant solutions.
Mentor and coach engineers, setting standards for code architecture and engineering processes.
Aledade is a healthcare technology company that empowers independent primary care practices through value-based care and accountable care organizations. The company is dedicated to improving health outcomes and supporting communities, with a collaborative and innovative culture.
Design, build, and ship backend services for AI-powered service experiences in Jira Service Management.
Own complex tasks end-to-end, from technical design through rollout, validation, and post-launch improvements.
Collaborate across functions to turn ambiguous customer problems into scalable backend and ML-supported solutions.
Atlassian builds software products that help teams collaborate and unleash their potential. With a global team and a culture that values unique contributions and diversity, Atlassian offers flexible work options to support its employees.
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 and maintain internal CLIs, SDKs, and services in Python or Go for deploying and debugging AI agents.
Deploy, scale, and tune LLM inference with vLLM, including GPU scheduling and cost/latency trade-offs.
Own MLOps workflows, Kubernetes operators, and CI/CD to take AI agents from laptop to production.
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms like SAP, Salesforce, and Snowflake. Backed by Foundation Capital, the startup operates with extreme ownership and a fast-moving culture at the frontier of applied AI.
Design and build the gateway, runtime, and evals services for AI workloads at scale.
Own technical decisions from design to launch, including identity, quota, and failover controls.
Partner with security and infrastructure teams to set guardrails for agentic workloads.
We provide clear, predictable pay-over-time financial products with no hidden fees. We are a remote-first company with an engineering culture centered on blameless postmortems and detailed technical design.
Build and operate shared AI infrastructure enabling secure access to foundation models.
Work on model gateways, cloud AI services, routing, observability, and governance.
Mentor and coach engineers, contributing to technical roadmaps and code reviews.
Aledade is a healthcare technology company that empowers independent primary care practices through value-based care. The company maintains a collaborative, mission-driven engineering culture focused on building scalable, reliable systems.
Drive architectural decisions across the [R]AIMS platform, balancing performance, scalability, security, and maintainability.
Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans.
Mentor engineers, conduct design reviews, and raise technical execution across the platform.
Raft is a customer-obsessed, non-traditional defense technology company focused on AI/ML and data solutions for U.S. military and government agencies. Its culture emphasizes radical transparency, hyper-collaboration, and innovation with a mission-driven focus.
Own and operate Terzo's foundational infrastructure across cloud environments, data pipelines, compute orchestration, observability, and deployment systems.
Build and scale reliable infrastructure using Terraform, Azure, Kubernetes, CI/CD automation, and strong SRE practices.
Enable product teams to ship quickly without breaking things through automation, incident response, and operational excellence.
Terzo builds an enterprise data platform that processes document corpora, powers real-time AI agents, and serves the Financial Intelligence Graph to Fortune 500 customers. It is a small, senior team with strong ownership, minimal bureaucracy, and a collaborative culture.
Design and build scalable cloud infrastructure spanning Kubernetes, distributed systems, and CI/CD pipelines.
Develop and deploy AI agents for infrastructure management with safeguards, observability, and reliability.
Provide staff-level technical leadership, mentoring engineers and driving architectural decisions.
The company builds enterprise AI applications and infrastructure, with a focus on AI-native engineering practices. It operates as a remote-first, globally distributed team spanning more than 15 countries, valuing technical excellence, inclusion, and continuous improvement.
Own and modularize the infrastructure behind Seer's data platform using Terraform or OpenTofu.
Build and maintain GCP services including BigQuery, Cloud Run, and Cloud Functions, automating data flows.
Design CI/CD pipelines, alerting, and monitoring to ensure reliable, well-governed systems.
Seer Interactive is a digital marketing consultancy that uses data, technology, and AI to drive client outcomes. It is a remote-first Certified B-Corp with team members across the US.
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.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems.
Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance.
We are a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms with production-grade engineering discipline.
Build and maintain scalable backend services, distributed systems, and APIs for the AgentControl product.
Collaborate with product managers, designers, and engineers to improve GenAI workflows and drive architecture decisions.
Take ownership of production code, participate in on-call rotations, and optimize performance, reliability, and scalability.
LaunchDarkly is a feature management platform that helps developers deliver and control software features safely. The company values humility, collaboration, and diversity, and is committed to building a high-trust, transparent team.
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.
Build AI-based features into a platform serving millions of users.
Work directly with the platform architect to bring deep, hands-on LLM-stack expertise to production.
Stand up core AI infrastructure from scratch and shape engineering practices as the team grows.
TMTG is a social media company dedicated to delivering an engaging and censorship-free experience. It is fast-paced, rapidly growing, and committed to free speech.
Own Mimica's infrastructure strategy, platform roadmap, and cloud architecture across all products.
Lead and grow the Platform team through hiring, sub-team design, and reliability standards.
Own AI infrastructure, FinOps, CI/CD, observability, and enterprise deployment models.
Mimica is an AI-powered process intelligence platform that turns work into data-backed decisions and AI automation. Backed by $26M in Series B funding, the remote-first team spans 16+ countries and values ownership, transparency, and collaboration.
Own and evolve AWS infrastructure powering real-time AI voice and workflow automation systems.
Drive reliability, scalability, and operational rigor across the multi-agent runtime.
Mentor engineers and design secure, compliant platform foundations for rapid product expansion.
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry, starting with voice and expanding into workflow automation. The fast-growing startup has raised $72M, including a $50M Series B in October 2025.
Lead client-facing engineering and solutioning from pre-sales through early delivery for enterprise AI platforms.
Architect and implement AI stacks, agentic solutions, and cloud-native platforms using Python, GenAI, and LLMs.
Drive AIOps, observability, and mission-critical platform transformation programs for regulated industries.
Global technology consulting and digital solutions company that enables enterprises to reimagine operations and drive measurable business impact. Its Enterprise AI business unit focuses on scaled, production-grade AI adoption and agentic platforms.
Own the architecture and evolution of APADCode's core backend platform and stateful AI interviewer runtime.
Design event-driven systems, coding execution infrastructure, and asynchronous pipelines for AI evaluation.
Build production-grade reliability, observability, and security across service boundaries and deployment workflows.
APADCode is an early-stage AI startup building live, adaptive technical interview infrastructure for evaluating software engineers. It is a small, founder-backed team focused on real hiring workflows and direct collaboration.