Design and implement multi-agent state machines using LangGraph and LangChain for autonomous decision-making.
Build production-grade RAG pipelines on AWS with dual-engine vector search and serverless ingestion.
Architect secure multi-tenant AI systems with RBAC, PII redaction, and HITL guardrails.
Novara provides safety and operational risk management software that empowers organizations to identify and resolve issues before they become incidents. As a Providence Equity portfolio company, we are a dedicated team fostering innovation and collaboration in a remote-first environment.
Design and own the agent orchestration model, tool-use architecture, and human-in-the-loop protocol for a complex transaction workflow.
Ensure the system is secure, auditable, and extensible, with a sandbox data model and zero-retention policy.
Validate technical feasibility stage by stage and lead cross-functional teams through build phases.
Future Works is a US-focused, AI-native professional services firm that builds operational AI and data systems. They are a team of "Time Benders" on a mission to collapse timelines to operational transformation for high-footprint companies in energy, real estate, and data.
Build multi-agent AI systems and automation platforms for Marketing Operations at scale.
Design and implement LLM integrations, backend services, and agentic workflows.
Partner with cross-functional teams to identify high-impact automation problems and ship measurable solutions.
Grafana Labs is the company behind the open observability cloud, offering a fully managed platform with AI capabilities to help organizations monitor and optimize their systems. With over 1,600 team members across 40+ countries and backed by top investors, we maintain a 100% remote, collaborative culture rooted in open source and innovation.
Design, build, and operate multi-agent workflows and tool-enabled agents for resilient production pipelines.
Architect and maintain end-to-end RAG systems covering document ingestion, chunking, embedding, retrieval, and answer synthesis.
Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge, and hallucination detection.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. With over 35 years of experience, we serve 20,000 client companies globally, including 30% of the Fortune 500, and foster a diverse, inclusive culture centered on individual excellence and learning.
Design and ship AI agent systems end to end, from experiments to production, owning data access layer and retrieval strategy
Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
Set the technical direction for AI at Kota and raise the bar on engineering practice
Kota is reimagining insurance and retirement benefits for the modern workforce. Founded in 2022, we have raised more than 20M EUR and our team is spread across the world.
Own the design and evolution of core capabilities for the internal AI agent platform to support high-impact business workflows.
Partner with cross-functional teams to translate strategic goals into scalable AI agent solutions.
Build and maintain shared services, deployment patterns, and observability frameworks for reliable agent deployment.
ActiveCampaign is the autonomous marketing platform that enables teams to automate campaigns with AI agents. It is a global, multicultural company with a fast-growing, collaborative culture.
Design, build, and deploy AI-powered solutions connecting Remote’s platform to customer systems and workflows.
Work at the frontier of practical AI, shipping reliable, observable, and secure systems in production.
Own customer outcomes from discovery through production rollout with high autonomy and direct influence on product roadmap.
Remote is a global HR platform that helps businesses recruit, pay, and manage international teams compliantly. The company fosters a future-focused, async culture with team members across 6 continents and emphasizes innovation, automation, and AI.
Engage directly with customers to discover requirements and design AI agent workflows focused on measurable ROI.
Build integrations with customer systems (CRMs, EHRs, ERPs) and implement compliance controls like HIPAA and PCI.
Partner with sales teams during pre-sales and provide structured feedback to Product and Engineering.
RingCentral is a leading provider of business cloud communications and contact center solutions, with $2.6 billion annual revenue and a $93 billion market opportunity. The company has a diverse, inclusive culture recognized as a Best Place to Work by Glassdoor and holds offices worldwide.
Build agent harnesses in Python using LangChain and LangGraph, including tool-calling and structured outputs.
Develop evaluation frameworks with golden datasets, LLM-as-judge, and regression suites, wiring them into CI.
Collaborate with data engineers on Snowflake-backed retrieval patterns like Cortex Analyst and Search Services.
Kobie is a loyalty solutions partner that helps brands build emotional connections with their consumers. Named a Top Workplace in the USA, they offer a flexible remote culture with a focus on collaboration and growth.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
Build AI-integrated backend systems connecting AI models to compliance workflows in a regulated context.
Own service architecture end-to-end, from design to reliability and scalability.
Automate AML/AFC compliance operations, from EDD automation to customer onboarding acceleration.
Qonto delivers Europe's leading finance workspace with banking at its core, augmented by financial tools. Founded in 2017, the company has grown to 1,600+ employees serving over 600,000 customers across 8 European countries, with a culture that puts customer satisfaction first and values diversity.
Design and evolve per-tenant knowledge graph schemas for sales execution domains.
Architect NLP pipelines to extract structured knowledge from unstructured conversational and document data.
Design reasoning and inference layers over the knowledge graph to power next-best-action recommendations and deal risk scoring.
Outreach is the only complete agentic AI platform for revenue teams, founded in 2014. The company works with world leading enterprises like Databricks, SAP, and Siemens, and promotes a diverse and inclusive culture with multiple employee resource groups.
Build production-grade AI systems using TypeScript, Python, LangGraph, and modern AI approaches.
Design and deliver agentic workflows and AI-powered products from concept to deployment.
Mentor engineers and help establish AI best practices across the organization.
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. They connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.
Design and deliver advanced AI solutions for legal and compliance operations at enterprise scale.
Build end-to-end AI applications using LLMs, RAG, and agentic frameworks with Python and modern orchestration tools.
Partner with legal stakeholders to identify automation opportunities and develop secure, scalable production systems.
Jobgether uses AI-powered matching to connect candidates with hiring companies, streamlining the application process. They operate remotely and focus on efficient, technology-driven recruitment.
Build AI-powered workflows, assistants, agents, and automation systems across customer support, CRM, and finance operations.
Work with product and engineering teams to turn manual processes into scalable AI-native systems using LLMs, APIs, and internal data.
Prototype quickly, test with users, then productionize what works, ensuring evaluation, monitoring, and reliability.
Bjak believes people deserve smarter ways to plan, save and grow their money, starting with the first mobile-first insurance platform in Southeast Asia. They have teams worldwide with over 20 nationalities working from offices and remotely, seeking talented and driven people.
Own the architecture, design, and delivery for your team's platform area, turning roadmap into engineering plans that ship and hold up in production.
Design and build core parts of a compound AI system spanning agents, LLMs, and RAG, with a focus on reliability, evaluation, and scale.
Champion engineering best practices, mentor engineers, and partner with product and design counterparts to align on priorities.
Crogl builds fully autonomous AI team members for security operations centers (SOCs), helping organizations secure their digital estates. As a startup with a focus on innovation, they seek senior technical leaders to join their remote team.
Architect production-grade multi-agent frameworks and orchestration layers from scratch.
Balance rapid prototyping with long-term sustainable architectural foundations.
Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and other privacy-minded products. With over 225 million monthly users, we are a mission-driven organization owned by the Mozilla Foundation, employing thousands of volunteers and collaborators worldwide to build open-source software for a better internet.
Build and ship AI agents, APIs, and applications on Affirm's internal platform, owning the full lifecycle from architecture to production.
Turn messy business requirements from People Operations stakeholders into production systems, integrating with tools like Workday and Notion.
Design reliability infrastructure for multi-model LLM services, including structured output validation and quality controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The People Tech & Analytics team builds and owns the data, AI, and technology infrastructure for Affirm's People function, running like a product engineering group embedded in HR.
Build and evolve the agent harness and orchestration that turns an LLM into a reliable autonomous pentester.
Design tools and validation layers to keep the agent reliable, with structured outputs and production-safety.
Own and grow evaluation infrastructure to measure and drive agent improvements.
Horizon3.ai is a fast-growing remote cybersecurity company that provides autonomous penetration testing through its NodeZero platform. The company fosters a culture of respect, collaboration, and ownership, with a team of former cyber operators and engineers.