Evolve and run the agent platform for internal and client-facing use cases, including runtime, SDKs, templates, and paved paths.
Harden infrastructure with IaC, network topology, security controls, and operational tooling with SRE.
Design for regulated industry with PHI isolation, least-privilege identity, audit trails, and human review; own production SLOs and incident response.
Arcadia is a healthcare data platform that transforms complex, diverse data into a unified foundation to help organizations deliver better care, boost revenue, and lower costs. It is a remote-first team of fiercely driven individuals committed to making healthcare more sustainable, named a Built In 2026 Best Place to Work.
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.
Architect and develop secure backend services for Access Security using AI.
Collaborate with cross-functional teams to deliver enterprise-ready identity intelligence.
Own end-to-end feature delivery and mentor engineers.
ServiceNow is an AI control tower for business reinvention, uniting AI, data, and workflows to help enterprises work smarter. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Lead Affirm's enterprise AI security review process, evaluating architecture, data flows, and design of AI tools and agentic systems.
Threat model AI/LLM systems for risks like prompt injection, insecure output handling, and data poisoning, and drive remediation.
Build security guardrails, tooling, and policy-as-code to automate AI security and support cross-functional initiatives.
Affirm is a financial technology company that offers clear, predictable point-of-sale installment loans with no hidden fees. The company is remote-first and values transparency, care, and flexibility, with a focus on building a diverse and inclusive team.
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.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Own the technical direction of a product area, defining how teams specify, delegate, and verify agentic work.
Set standards for specification quality, verification, and security architecture to keep AI-generated work safe at scale.
Mentor engineers across teams and drive large-scale initiatives combining human and agentic contributors.
BambooHR builds a people intelligence platform that transforms HR for small and mid-sized businesses. The company is a values-driven market leader with a culture that champions growth, flexibility, and meaningful work.
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.
Design and build full-stack capabilities supporting AI initiatives across Keeper's product portfolio.
Develop backend services, APIs, and frontend experiences that integrate AI-driven functionality into secure production environments.
Collaborate with AI and product engineering teams to remove technical dependencies and deliver production-ready AI features.
Keeper Security is a cybersecurity software company providing zero-knowledge and zero-trust security solutions that protect passwords, secrets, and infrastructure. It is a fast-growing global organization trusted by millions of users and thousands of enterprises, with a culture focused on innovation and reliability.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Own AI agents and autonomous workflows powered by LLMs from problem framing through production.
Build RAG pipelines, set evaluation and guardrail standards, and optimize for cost and scalability.
Work directly with client teams to scope problems and deploy AI systems in their environments.
Acceler is a Forward-Deployed Engineer company that takes AI from pilot to production inside client systems. With a practitioner network of nearly 1,000 engineers across the US and India, it's a high-caliber team built on ownership, trust, and rapid learning.
Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring production quality
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries managing nearly $10 trillion in assets, Addepar fosters a culture of ownership, collaboration, and innovation.
Build and ship production AI systems for the core finance workflows.
Own evals: metrics, test datasets, and monitoring of quality, cost, and latency.
Iterate end-to-end on AI products, from data pipelines to deployment.
Sibill is an AI-powered platform that unifies invoicing, payments, treasury, and accounting for SMEs and accountants in Italy. Backed by €12M from Creandum, the company serves over 5,000 businesses and 300+ firms with a team of over 130 people.
Secure BJAK's AI-enabled products and agent workflows using third-party models.
Assess customer data shared with model vendors and design least-privilege controls for AI agents.
Threat model prompt injection and support SC TRM/BNM RMiT compliance for AI risks.
BJAK is a mobile-first insurance platform that makes insurance accessible online and is the leading insurtech in Southeast Asia. With over 20 nationalities working from offices and remotely worldwide, the company values passionate builders who love creating next-generation financial products.
Design and develop specialized AI agents using Generative AI, LLMs, and agentic frameworks like LangChain and Semantic Kernel.
Build MCP servers and integrate AI applications with event-driven architectures, ensuring secure and traceable decisions.
Implement Human-in-the-Loop workflows and apply PromptOps practices for scalable, secure, and high-impact AI solutions.
The hiring company is a technology organization in Brazil focused on building AI-powered applications and agentic systems. It fosters a collaborative and international culture, with fully remote work and opportunities to work on innovative AI technologies.
Design and deliver production-grade agents that investigate, reason, and act on live observability data.
Own agent work from rough prototype to production, including evals.
Extend the agentic workspace with new canvas capabilities, MCP server, and skills.
Honeycomb provides an observability platform that helps engineers understand and debug complex systems. It is a fully distributed company of over 200 people, with a culture that values impact, autonomy, and inclusivity.
Take the out-of-band policy engine from prototype to production, wiring Cedar-based enforcement into the AI gateway.
Build the two-tier policy composition model and authoring experience for security teams.
Extend policy operators, audit every decision, and maintain the adversarial certification harness.
Redpanda builds a unified runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and governance for AI agents. It's a people-first, fast-moving company trusted by Fortune 500 companies and startups, with a global team.
Own the intelligence layer of Project Interstellar, building production LLM systems for document intelligence, voice agents, and task orchestration.
Design and maintain prompt engineering infrastructure, model abstraction, RAG layers, and agent orchestration frameworks.
Partner with engineering and domain experts to integrate AI capabilities into a HIPAA-regulated platform from the ground up.
Certum Legal Solutions is a legal managed services organization that provides operational infrastructure, technology, and back-office solutions for personal injury law firms. The company is building a proprietary AI-native system and is assembling a high-caliber team in a greenfield, fast-paced environment.
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.