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.
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.
Building multi-agent systems and implementing agent-based workflows and AI automation solutions.
Developing and optimizing prompt engineering strategies, including evaluation and iteration.
Integrating LLMs and AI models into cloud-based applications and APIs while researching new AI tools.
Software Mind develops impactful software solutions for global companies, partnering with tech giants and unicorns on transformative projects. The company builds cross-functional engineering teams and embraces a culture of openness, respect, grit, and cooperation.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
Prototype and test ideas for applying AI to data and marketing workflows.
Develop and ship production-ready AI applications in close collaboration with product and engineering teammates.
Make architectural and framework decisions for LLM-based systems and build data agents that answer analytics questions.
This is a Series D marketing technology company focused on building AI experiences that help teams use data to improve marketing workflows. They are a small, fast-paced product and engineering team within a venture-backed startup environment.
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.
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.
Debug and fix issues in the platform and ship PRs with your fixes.
Build internal tools and copilots powered by generative AI to supercharge the team.
Rapidly prototype proof-of-concepts for customer use cases across Engineering, Product, and Solutions.
Arize AI is the leading AI observability and evaluation platform, enabling teams to monitor, troubleshoot, and optimize AI systems from prototype to production. The company serves over 150 enterprises including Booking.com, Uber, Siemens, and PepsiCo, and operates with a remote-first culture committed to diversity and inclusion.
Design, develop, and maintain enterprise applications while modernizing legacy systems into scalable architectures.
Build AI-enabled applications, workflows, agents, and integrations with LLM APIs and enterprise data sources.
Troubleshoot production issues, review code risks, and support releases with clear documentation and testing.
Goods & Services is a product design and engineering company solving mission-critical challenges for large enterprises, with deep expertise in life sciences and financial services. Headquartered in the US, it operates regional development centers in Mexico and the UK and values diversity and inclusion.
Set technical direction for a new Experience squad, owning architecture and standards across identity, API v3, and agent integration.
Work hands-on across backend (Python/Django) and frontend (React) to deliver a cohesive platform experience.
Build AI-native solutions with LLMs and agent frameworks, driving the shift from feature-driven to agent-led product architecture.
IFS is a billion-dollar enterprise software company with 7,000+ employees worldwide, leveraging AI technology to power award-winning solutions. Our culture is flexible, innovative, and inclusive, with a focus on agility, collaboration, and making a positive global impact.
Build and maintain LLM-powered 'company brain' knowledge systems and agentic memory solutions.
Design, deploy, and operate production agentic applications with Claude Code, AWS, and robust harnesses.
Enable transformation through training, workshops, and stakeholder partnership across a 500-person organization.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize platforms, and apply AI to business challenges. Its culture values curiosity, ownership, practical innovation, and collaboration across multidisciplinary teams.
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.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
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, 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.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
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 solutions from discovery to production, ensuring quality and scalability.
Design and evolve Generative AI, RAG, and agentic applications with strong engineering foundations.
Collaborate with architects and product teams to establish best practices for AI evaluation and observability.
CI&T helps large enterprises turn AI potential into real business impact through AI deployment and tech-integrated solutions. With 8,000 employees across 25 countries, they foster a collaborative culture focused on innovation and continuous learning.
Build production-ready LLM applications across backend, data, and front-end.
Partner with customers in the field to deploy and iterate AI solutions.
Codify reusable patterns and influence the platform roadmap.
ServiceNow provides an AI control tower for business reinvention, bringing together AI, data, and workflows. The company powers 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Implement features that improve MDLinx and drive user impact, with ownership growing over time.
Apply software engineering best practices including automated testing, clean code, and peer review.
Read AI-generated plans and code critically, and identify work for AI-assisted automation.
M3 is a Japanese global leader in healthcare technology and research solutions, operating physician websites with over 5.8 million members. MDLinx, an M3 company, focuses on transforming pharmaceutical brand promotion through omnichannel engagement.