Design and develop core software infrastructure for privacy-preserving AI evaluations using Python and secure computing technologies.
Build and maintain secure enclave solutions and Trusted Execution Environment technologies for confidential computing.
Scale the platform from initial deployment to multiple implementations, owning major engineering components and improving reliability and user experience.
Build agentic payment infrastructure using Python and FastAPI.
Design APIs and domain models for card enrollment and token provisioning.
Ensure security, reliability, and observability for critical payment systems.
VGS builds trust infrastructure for a new era of commerce, specializing in payment tokenization. They store over 9 billion tokens and process 10 billion monthly interactions, with a culture of ownership and collaboration.
Design and build security solutions across application security, infrastructure, and AI agentic systems.
Secure integrations, manage secrets, and review public-facing APIs for vulnerabilities.
Develop AI governance standards and security review agents to protect user trust.
Wave builds mobile financial services across Africa, making cash deposits, withdrawals, and payments accessible to millions. With a rapidly growing team in 9 countries and a remote-first culture, Wave fosters autonomy and ownership.
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.
You will build and evolve AI-powered full-stack products improving physician and patient healthcare experiences.
You will own technical initiatives end-to-end, from architecture through deployment and production support.
You will collaborate with Product, UX, and QA to integrate AI and LLMs into reliable software.
Our partner builds AI-powered product experiences that help physicians deliver care and patients access healthcare. Their distributed, fully remote culture is collaborative and inclusive, emphasizing technical ownership, mentorship, and continuous improvement.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Design and drive the architecture for key AI platform components, ensuring scalability, reliability, and security.
Own complex initiatives from architecture through production, turning ambiguous goals into clear technical requirements.
Build systems that unify data and allow AI agents to access sensitive information with strict privacy and security guarantees.
Aura and Qoria are on a mission to create a safer internet for everyone by combining identity theft protection with digital wellbeing tools. The combined company protects over 9 million families and 32,000 schools across 100+ countries, driven by a global team of over 1,000 people.
Provide hands-on technical leadership for building open-source infrastructure supporting federated AI and privacy-preserving technologies.
Lead architectural decisions, production readiness, and engineering best practices for a specialized squad.
Mentor engineers and collaborate with product leadership to deliver scalable, secure, and maintainable systems.
The company is a mission-driven nonprofit building open-source infrastructure for federated AI and privacy-preserving technologies. It operates as a remote-first, globally distributed team with a highly collaborative, diverse culture.
Design and implement Python solutions using the full suite of AWS cloud computing capabilities.
Develop and iterate on AI and LLM-based workflows to reduce customer time-to-outcome.
Operate in a collaborative, agile remote environment, sharing knowledge and participating in peer code reviews.
Two Six Technologies builds, deploys, and implements innovative products that solve complex challenges, particularly in the information operations space for US government and Fortune 50 clients. The company emphasizes collaboration, trust, and pushing boundaries to empower its team and support customers in building a safer global future.
Build and scale agentic workflows and personalized AI features for next-generation email.
Develop and improve Model Context Protocol (MCP) infrastructure and evaluation frameworks.
Evaluate and select AI models while collaborating with cross-functional teams.
Superhuman builds intelligent AI-powered productivity experiences that transform how people communicate and work. They foster a collaborative, remote-flexible culture with an emphasis on ownership, autonomy, and continuous learning.
Lead technical discovery and turn ambiguous cyber needs into a tractable plan with clear architecture and acceptance criteria.
Build and integrate AI-enabled security workflows using production software, APIs, telemetry, and security systems.
Deploy, operate, and evaluate AI workflows in customer environments, ensuring security, maintainability, and handover.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, including generative AI, custom LLM integrations, predictive analytics, and intelligent automation. The company has a collaborative, mission-driven team focused on real-world AI impact and values adaptability, ownership, and hands-on client collaboration.
Act as the technical bridge between enterprise customers and core engineering, designing APIs, SDKs, and workflows.
Architect production-ready AI infrastructure for LLM inference, RAG pipelines, and GPU-accelerated workloads.
Write production-grade Go, Python, and TypeScript while shaping product strategy and mentoring engineers.
The hiring partner builds modern developer platforms and AI infrastructure that help enterprises ship AI-native applications. The team culture emphasizes hands-on technical excellence and collaboration; company size is not disclosed in the posting.
Design, develop, and maintain AI-powered software solutions across the full development lifecycle.
Work with backend stacks like Python, Node.js, .NET, and Java, plus modern frontend frameworks such as React or Angular.
Build and integrate AI agents, RAG pipelines, and LLM-driven products into production environments.
Cresteo is a nearshore tech services company on a mission to be the world leader in people-first and honest software development. Our small, high-trust team values transparency, profit-sharing, and fearless innovation while working with US-based clients and international teams.
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 scale an internal developer platform for AI model integration via an AI Gateway.
Design APIs, SDKs, and self-service tools with governance, observability, and cost control.
Collaborate with security and SRE teams to ensure reliability and security across deployments.
Jobgether uses AI-powered matching to connect candidates with remote job opportunities. It partners with companies to manage applications and streamline hiring.
Build AI-first SaaS products, including LLM-powered workflows, retrieval over compliance content, and in-product agents.
Develop and optimize agentic, pipeline-driven development systems where AI coding agents plan, write, test, and review code under strong engineering oversight.
Maintain high engineering standards with secure, tested, scalable solutions and participate in on-call rotation.
Mitratech builds world-class software products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of expertise, the company serves 20,000 client companies globally, including 30% of the Fortune 500, and fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
Design and implement complex, scalable systems using TypeScript, JavaScript, Python, and Django.
Own components from development through deployment, monitoring, and production support in AWS environments.
Mentor engineers, review code, and collaborate to break down ambiguous goals into concrete steps.
A1M Solutions is a woman-owned small business that preserves and improves government healthcare programs for underserved people in the US. The company values foundational values, deliberate focus, and empathetic connection, working at the intersection of policy, data, and user experience design.
Take end-to-end ownership of security across a platform serving 50 million users, spanning application security, GRC, and AI security.
Collaborate closely with engineering leadership and development teams to identify vulnerabilities, strengthen controls, and drive remediation.
Protect AI-powered systems against evolving threats like prompt injection, jailbreaks, and third-party provider vulnerabilities.
They are a rapidly growing AI-powered technology platform serving over 50 million users worldwide. As a scale-up with more than 50 employees, they foster a high-autonomy, execution-focused culture with direct access to leadership.