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.
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.
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.
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.
Build and ship features of AI/ML and LLM-powered systems with guidance from senior engineers.
Implement and maintain AI/ML and AI agent pipelines from data ingestion through model deployment.
Contribute to LLM-powered features such as prompts, evaluations, retrieval, and tool integrations, while documenting experiments clearly.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity. Teams average fifteen-plus years of experience and value ownership, craft, direct feedback, and continuous learning.
Design, develop, and implement AI-powered features to improve patient engagement, care coordination, claims management, and operational efficiency.
Use Claude Code and related AI tools to build, test, troubleshoot, and maintain full-stack software products in a remote Agile environment.
Collaborate with product managers, designers, engineers, and clinical stakeholders to translate requirements into scalable, user-focused solutions.
VetsEZ, through its EZLabs division, specializes in AI-driven healthcare products for federal government modernization, focusing on patient engagement, care coordination, and claims management. The company fosters a fast-paced, remote Agile culture and is an equal opportunity employer.
Build AI agents and automations against specifications, including prompt development and knowledge grounding.
Own quality evaluation, knowledge curation, and monitoring of live AI workloads.
Maintain documentation and support production readiness, with a focus on scaling AI platforms.
Turnitin is a recognized innovator in global education, partnering with educators and institutions for over 25 years. With 16,000+ academic institutions and a remote-first culture, we are a global organization with team members in over 35 countries, unified by a shared desire to make a difference in education.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Drive internal AI adoption across Customer Success, Sales, and Operations.
Build production AI agents and integrations using Python/TypeScript and LLM APIs.
Design human-in-the-loop workflows with guardrails and evaluation harnesses.
RoomPriceGenie is a hotel technology company founded in 2017 that provides an AI-driven pricing optimization solution. With a global customer base and a remote-first culture, the company is recognized as a Best Place to Work in HotelTech and values transparency, respect, and impact.
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.
Build and scale automated data pipelines across analytics, legal, and commissions.
Integrate CRM, billing, and finance systems using custom APIs and data pipelines.
Ship and maintain internal applications and deploy containerized AWS services.
LeanTaaS builds AI-powered software that helps hospitals optimize capacity by reducing wait times and costs. With over $300 million in funding from top investors, the company serves more than 190 health systems and employs a culture focused on innovation and operational excellence.
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.
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.
Build and deploy AI agents and automated workflows that marketing teams use daily.
Automate campaign development in Braze, from template-driven generation to pre-send QA.
Write evaluation suites that measure agent output for brand voice and factual grounding.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, including GOAT, Flight Club, Grailed, and alias. With over 60 million members across 170 countries, the company is a global leader in resale and is backed by leading investors.
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Build production Agentforce agents including topics, actions, grounding, guardrails, and evaluation harnesses.
Implement actions across Flow, Apex, prompt templates, and external APIs, grounding answers in Data 360.
Design guardrails against prompt injection and data leakage, and run evaluation and regression tests before changes.
AspenView Technology Partners builds high-performing nearshore IT teams for North American clients, focusing on innovation and efficiency. They are a people-first, purpose-driven company that believes great culture drives great outcomes.
Design and implement the core AI agent runtime in Python, including orchestration loops, tool definitions and execution, memory and context management, and failure handling.
Build and maintain evaluation datasets, automated evaluators, LLM-as-judge pipelines, and regression tracking to ensure agent quality and performance.
Develop Python and Node.js microservices for agent hosting and LLM interactions, and build reliable Laravel/PHP APIs for integration.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities, partnering with companies to manage applications and next steps. They emphasize a fast-growing, collaborative environment with a focus on professional growth and cutting-edge technology.
Direct the agent array on production workstreams by decomposing problems into tasks and integrating agent output into shipped software.
Review agent-generated pull requests at volume and depth, identifying correctness, security, and accessibility defects.
Author evaluation suites that make quality measurable using eval-driven development and own end-to-end quality within a FedRAMP-authorized environment.
Granicus provides cloud-based solutions for government communications, website design, meeting management, and records management, serving over 5,500 agencies and 300 million citizens. With a globally distributed team and a culture of transparency and inclusion, Granicus has been recognized on the GovTech 100 list for the past 5 years.
Build and maintain open source AI integrations and frameworks for Backblaze B2 Cloud Storage.
Use AI coding agents like Claude Code to accelerate development, testing, and maintenance.
Contribute to open source projects and maintain clean GitHub repositories for community adoption.
Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. It is a remote-first company that values diversity, equity, inclusion, and work-life balance.
Design and deploy enterprise-grade AI solutions, autonomous agents, and multi-agent systems.
Build production-ready AI capabilities using LLMs, LangChain, AutoGen, CrewAI, and MCP.
Collaborate across squads to ensure consistent architectural standards and MLOps/AIOps practices.
Inetum is a European leader in digital services, helping businesses and public sector organizations achieve digital transformation. With 26,000 consultants and specialists across 19 countries, they emphasize proximity, flexibility, and responsibility, generating €2.2 billion in revenue in 2025.