Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.
Design and build sandboxed evaluation environments for AI models to safely execute code and interact with tools.
Build backend services and infrastructure supporting large-scale AI and agentic evaluations.
Develop agent scaffolding, evaluation harnesses, and systems for provisioning isolated environments using Docker, Kubernetes, and cloud infrastructure.
10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. The company focuses on adversarial red teaming and model evaluations to help teams deploy AI systems safely.
Develop and evolve the internal developer platforms that support development across Abnormal.
Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. The company serves over 4,500 enterprises and fosters an inclusive culture as an equal opportunity employer.
Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets.
Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents.
Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations.
Together AI is a research-driven artificial intelligence company that builds open and transparent AI systems. The company has contributed to leading open-source research like FlashAttention and RedPajama, and aims to lower the cost of modern AI through co-designed software, hardware, algorithms, and models.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Operate as a technical leader shaping architecture and quality, mentoring developers, and translating technical decisions into business value.
Design, build, and operate agentic AI systems including LLM services, retrieval pipelines, and multi-agent orchestration with end-to-end accountability.
Lead AI-augmented development practices, evaluating emerging technologies and establishing team-level guardrails for safe and effective AI tool use.
Caseware is a Canadian fintech company that has led the global audit and accounting software industry for over 30 years, serving over 500,000 users across 130 countries. With more than 36,000 professionals listing Caseware as a skill, they foster a culture of independence, innovation, trust, and accountability in a growing global SaaS environment.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Own the operational backbone of an AI-native development workflow, including environment setup, CI/CD, testing, documentation, and API prototyping.
Prepare dev environments, run test suites, review code, manage deployments, and handle lower-complexity coding tasks using AI tools.
Research and prototype third-party API integrations and maintain technical documentation for regulatory compliance.
SPHERE Technology is a fully capitalized HealthTech SaaS company building an AI-native platform from scratch, backed by a Miami-based family office with a long runway and zero burn-rate pressure. The company is a startup with a small, focused team, ambitious product roadmap, and a direct access culture with no layers or committees.
You own the platform runtime, voice infrastructure, enterprise security, and evaluation layer for all clients.
Work directly with the founder on architecture, from design through production and incident response.
Build self-serve infrastructure, lead incident response, and keep the platform fast and reliable on Kubernetes.
Rifa AI builds an AI agents platform for contact centers in regulated industries, helping enterprises deploy trustworthy voicebots. They are a small, passionate engineering team with paying enterprise clients and growing revenue, backed by Seaborne Capital.
Own meaningful problems from discovery through launch, measurement, and iteration.
Use AI to improve both how you build and what brightwheel can deliver.
Prototype quickly, validate assumptions, and use working software to create clarity.
Brightwheel is the largest platform in early education, trusted by millions of educators and families. It is a three-time Cloud 100 company with a distributed, customer-focused team.
Build the paved road by making the safe path the fast path for AI solutions across the company.
Turn wins into reusable patterns enabling teams to build shared skills and agent specs.
Build the bench by partnering with People team on AI literacy and developing champions inside each function.
Replicant builds an AI platform for contact centers, using AI agents and conversation intelligence to help Fortune 500 companies resolve requests and improve agent performance. The company is a fast-growing, remote-first team with a culture of ownership, humility, and self-distance.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, and orchestration technologies for enterprise adoption.
Mentor AI engineers and promote strong engineering practices across teams.
This partner company is hiring for a senior technical leadership role focused on shaping next-generation AI agents and autonomous workflows. They are a collaborative enterprise with a culture centered on experimentation, continuous learning, and innovation, offering a remote opportunity in the US.
Design, build, and operate Kubernetes infrastructure for AI workloads using Terraform and GitOps.
Define SLOs, run incident response, and create runbooks for reliable AI platform operations.
Drive AI-specific observability, FinOps, and security practices across the platform.
We are an AI-native consulting partner working with clients like PayPal, adidas, and NatWest to build digital products and services. Our team of over 600 has scaled quickly, earning Great Place to Work-Certified status multiple years in a row.
Build backend services, APIs, data workflows, and AI-enabled applications.
Develop model-agnostic coding agents and LLM workflows with human approval, prompt history, auditability, and controlled tool access.
Enforce architecture, UX, cybersecurity, testing, and deployment standards through automated policies and CI/CD controls.
Rackner builds mission-critical systems for the U.S. government across software engineering, AI/ML, DevSecOps, cloud platforms, and application modernization. They offer competitive benefits and focus on secure, AI-enabled software development.
Build and deploy AI-enabled applications and enterprise solutions using Python, Azure, and LLM APIs.
Integrate AI workflows with Microsoft 365, SharePoint, and enterprise data systems.
Implement security controls, testing, and CI/CD processes for production-ready AI solutions.
Atlas Technica provides IT management, user support, and cybersecurity for hedge funds and investment firms. Founded in 2016, the company has grown through a focus on service and values ownership, execution, growth, intelligence, and camaraderie.