Design and build secure enterprise applications with React, TypeScript, Python, and API services.
Build agentic workflows and MCP integrations that connect AI applications to enterprise data and tools.
Mentor other engineers and help guide technical direction across teams.
Nortal shapes digital transformation for global enterprises and public sector organizations, helping them turn data into real business value. We champion autonomy, open communication, and respect for diversity, with a close-knit remote community and strong People Care support.
Develop full-stack features across React, Node.js, Python, and databases, owning assigned features from planning through deployment.
Direct AI coding agents for implementation, review agent-generated code for correctness and security, and use AI for research and prototyping.
Collaborate with engineers, product owners, and end users to deliver solutions, proactively identify improvements, and maintain CI/CD pipelines on AWS.
Expression is a government contractor providing data fusion, analytics, AI/ML, software engineering, IT, and spectrum management solutions to the U.S. Department of Defense and national security community. Founded in 1997 and headquartered in Washington DC, the company was ranked #1 on the Washington Technology 2018 Fast 50 and fosters a culture of agile delivery, continuous growth, and collaboration.
Develop prototypes and MVPs using generative AI, automation, APIs, and modern web technologies.
Design and implement automated workflows with n8n and API integrations.
Collaborate with product, business, and technology teams to transform complex processes into practical solutions.
The company harnesses AI and modern web technologies to create practical, high-impact business solutions through prototypes and automation. It fosters a collaborative, innovation-focused culture with high autonomy, continuous learning, and an emphasis on diversity and professional growth.
Own the agentic development environment, ensuring AI agents can operate autonomously in cloud-based environments and execute full test suites.
Build MCP server integrations to connect agents to internal systems like CircleCI, Slack, Datadog, and GitHub.
Drive enablement by owning repo-wide agent documentation and developing tooling for engineers and non-engineers.
Hightouch is a data activation platform that helps companies sync customer data to their business tools. It is a remote-first startup with a fast-paced, high-ownership culture.
Build tools for understanding traces, evaluating agent behavior, and turning results into improvements.
Run experiments on Mastra's primitives to find where they fall short and improve configuration and behavior.
Help turn findings into capabilities developers can use in their own applications.
Mastra is the open-source TypeScript framework for building AI agents. We're a small, fully remote team backed by Y Combinator and Spark Capital with $35M raised.
Design and build the infrastructure for AI agents to handle software development tasks from tickets to pull requests.
Orchestrate and integrate autonomous coding agents, development environments, and workflow tools like Slack and Jira.
Establish security guardrails, measure agent performance, and improve engineering speed and reliability.
The company builds an AI-powered engineering platform for fantasy sports, enabling autonomous agents to manage software delivery and improve developer productivity. It is a fast-growing, remote-first organization that values experimentation, collaboration, and AI automation.
Build and ship end-to-end product features across frontend, backend, and AI pipelines independently.
Advance AI capabilities through prompt engineering, evaluation, and multi-provider setups in production.
Operate live systems and shape technical architecture, engineering standards, and roadmap as an early hire.
The company builds digital infrastructure for grant funding, aggregating 18,000+ funding programmes with AI-supported analysis and expert review. As one of the first engineering hires, you'll shape the culture of ownership, iteration, and customer-first values.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
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.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward 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 and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
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.
Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
Implement prompt engineering, agent orchestration, and evaluation frameworks to ensure reliable, scalable AI outputs.
Collaborate with engineering and product teams to deliver production-ready AI solutions with robust guardrails and observability.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they foster a collaborative culture where AI is embedded in how they work and innovate every day.
Build, configure and deploy AI agents for enterprise customers.
Integrate with customer APIs, databases and CRMs.
Tune and troubleshoot agents on live traffic.
A late-stage, venture-backed enterprise AI company deploying AI agents inside large customers' systems. They value ownership, with engineers handling integration to launch with no handoff.
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.
Design and build production-grade AI agents with LangGraph to automate multi-step workflows across internal teams.
Deploy and scale agents on Amazon Bedrock AgentCore, ensuring security, reliability, and cost efficiency.
Partner with internal teams to identify high-impact workflows and drive adoption through documentation and training.
Wrapbook is an AI platform for production finance, helping finance teams manage payroll, spend, and accounting for film, TV, and commercial productions. Trusted by teams at Netflix and Paramount, the 350+ person company is backed by major investors and focused on using AI to transform how finance teams work.
Design, develop, and deploy AI-powered tools, agents, and automation that streamline workflows across the organization.
Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable intelligent operations.
Own the infrastructure, security, monitoring, and reliability needed to scale AI solutions in production.
Phantom is building a self-custody crypto wallet and trading app that provides access to global markets, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. The company is around 180 people, fully remote, and backed by a $150M Series C from a16z, Sequoia Capital and Paradigm.
Design, develop, and maintain conversational AI solutions and agentic workflows using Copilot Studio, Power Automate, and Python.
Build and integrate AI agents with enterprise data platforms, and architect scalable Azure infrastructure with CI/CD and Splunk monitoring.
Collaborate with international teams and leverage AI-assisted development tools to drive engineering quality.
The company builds intelligent AI solutions and enterprise automation systems for global organizations. It offers a collaborative senior engineering culture with strong technical leadership and a focus on professional development.
Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.