Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
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 customer solutions end-to-end, rapidly prototyping and deploying agentic AI solutions on the Kinaxis Maestro platform.
Partner with product and engineering to convert field learnings into durable platform capabilities and drive adoption.
Operate as part of a tight, multi-disciplinary unit, trading tasks seamlessly to deliver customer impact.
Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them. With over 2,000 employees and a culture of innovation, we are expanding our team to revolutionize supply chain solutions.
Build asynchronous Python/TypeScript services with FastAPI, Pydantic, and asyncio.
Develop agent orchestration, subagent delegation, tool calling, and structured outputs.
Create behavioral evals and regression datasets using Langfuse.
We are a venture-backed defense-tech company building AI-native intelligent software for sovereign institutions and their affiliated organizations. We have offices across the U.S., Europe, and the Middle East, and we are expanding our engineering team with people who demonstrate strong ownership and sound judgment.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use and multi-step execution.
Build evaluation frameworks to measure AI quality and reliability.
Gina's Tech Jobs is an IT staffing and recruiting agency that specializes in placing technology professionals. They partner with companies to fill roles such as this one, offering a wide range of positions.
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.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Own the shared AI foundation used by product engineering teams, including model selection, routing, context management, and evaluation.
Design and ship agentic capabilities end to end, from proof-of-concept through production optimization and iterative improvement.
Establish evaluation infrastructure and practices to measure model and agent performance, ensuring quality and accuracy for financial decision-making.
Our partner is building a suite of financial planning and analysis capabilities powered by a shared AI foundation. They operate as a remote-first engineering team with a focus on autonomy, craftsmanship, and high-impact work.
Build and evolve production AI agents on foundation models using AWS Bedrock.
Develop evaluation pipelines and production observability for LLM systems.
Apply context engineering and agent architecture fundamentals to inform orchestration framework decisions.
Smart Working connects exceptional professionals with outstanding global teams through long-term remote opportunities. They are a high-rated workplace on Glassdoor that values integrity, excellence, and professional growth.
Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.
Build and ship AI-enabled applications end to end using LangChain, LangGraph, and LangSmith.
Own technical delivery across the full stack: backend services with Python/FastAPI and modern web UIs with TypeScript/React.
Collaborate closely with designers, product managers, and Flynn stakeholders to continuously deliver working software.
Flynn is building AI agents for field service work, giving technicians the knowledge they need to fix complex equipment on-site, the first time, every time. It is a spinout from Equips, a leader in equipment maintenance services, and is rolling out to its first customers.
Design and iterate on agent behavior across real, live workflows, including long-horizon, multi-turn agentic tasks.
Build and run evaluations against production conditions to measure performance, regressions, and edge cases.
Partner with Product and Engineering to ensure agents are steerable, trustworthy, and ready for scale.
Arcadia is a healthcare platform that transforms complex data into trusted intelligence for providers, payers, and life sciences organizations. Backed by Nordic Capital, the company has hundreds of organizational clients and a mission-driven culture focused on improving patient outcomes.
Architect and build production AI-agent systems like AIDA and NOVA, shaping how Yuno applies LLMs and agentic AI to payment problems.
Design conversational and multilingual agents that hold real customer conversations across channels, optimized for reliability and low latency.
Define evaluation, safety, and guardrails for agentic systems in a compliance-sensitive, multi-market environment.
Yuno is the AI-native operating system of global commerce, powering financial infrastructure for enterprise merchants, banks, and wallets. It connects over 1,000 payment methods across 190+ countries, trusted by global brands like McDonald's and Rappi, with a remote-first culture.
Design and build the agent orchestration layer for agentic AI systems that manage workflow state and next-best-action logic.
Integrate LLMs behind a provider-agnostic layer with structured outputs, tool-calling, and model routing.
Collaborate with frontend, product, and client stakeholders to ship end-to-end solutions.
Monks is a global, digital-first, data-driven marketing and technology services company that combines marketing and technology services to redefine brand interactions. With a culture of innovation, it ranks among Cannes Lions' Top 10 Creative Companies and fosters diversity and inclusion.
Design and build internal AI services that help sellers create tailored sales assets and respond to deal signals.
Integrate AI agents with platforms like Salesforce, Snowflake, and Slack for permission-aware tool use.
Evaluate and improve agent behavior through user feedback, quality signals, and production monitoring.
1Password builds a secure digital future with unified access management and enterprise password management, trusted by over 180,000 businesses. They are a remote-first company with a culture of collaboration and innovation, and have surpassed $400M in ARR, earning a spot on the Forbes Cloud 100.
Design, build, and maintain agent infrastructure and platforms, including the TRACE Graph, embeddings, and semantic search.
Collaborate with detection engineers and threat hunters to encode domain expertise into agents.
Build automated evaluations and benchmarks for non-deterministic agentic systems.
Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. As a startup, we emphasize collaboration, low ego, and a relentless focus on delivering customer value.
Build and ship agentic features for thousands of developers, including orchestration, tool execution, and context management.
Design and implement the foundation for advanced AI agents that handle billions of dollars in purchase volume.
Collaborate with product and engineering teams to scope, prioritize, and drive rollout of new features.
RevenueCat provides infrastructure and tools for app businesses to manage subscriptions and monetization. They are a remote-first team of 150+ people across 25+ countries, guided by values like Customer Obsession, Always Be Shipping, Own It, and Balance.
Participate in end-to-end development of product features across frontend and backend under senior engineer guidance.
Learn and integrate mainstream AI coding tools like Cursor, Copilot, and Claude Code into your daily workflow.
Assist in translating product requirements into working implementations with reduced handoff friction between frontend and backend.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries and offer an unmatched portfolio of digital-asset products.
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.