Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
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.
Design and own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
Design, build, and deploy generative AI systems using large language models, RAG, and agentic workflows.
Own the full lifecycle from experimentation to production, including evaluation, infrastructure, and monitoring.
Collaborate with Product, Engineering, and Data teams to turn AI ideas into scalable, secure customer experiences.
Typeform is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes that people enjoy. With 500 million responses annually, we are a diverse team of 500+ employees committed to excellence, respect, and transparency.
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.
Define architecture and technical strategy for highly scalable AI systems.
Lead complex model serving and inference initiatives while optimizing performance and cost.
Mentor senior engineers and influence cross-functional AI strategy and product direction.
The company builds critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a fast-growing organization with a collaborative, fast-moving culture where engineers have meaningful influence on architecture and product direction.
Build and deploy production AI services including agentic workflows, RAG pipelines, and LLM-integrated applications using Python and commercial foundation models.
Implement data-to-insight pipelines with document ingestion, embeddings, vectorization, and knowledge graphs.
Design secure API interfaces and containerize AI services with Docker and Kubernetes for deployment.
They engineer high technology solutions for defense and scientific missions. With a global team of 12,000+ professionals, they value trust, honesty, and innovation.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
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.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
Design, build, and operate production-grade reusable AI capabilities and services adopted by multiple engineering and product teams.
Build and evolve LLM gateways, proxies, model routing, and agentic workflows such as LangGraph and MCP.
Define standards for production AI adoption including automated testing, versioning, and incident response.
Coderio designs and delivers scalable digital solutions for global companies, combining technical expertise with a product mindset to lead complex software initiatives. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Build and evolve shared AI capabilities and reusable services for construction software products.
Design and implement production-grade AI systems including LLM-based experiences and agentic workflows.
Partner with product teams to identify cross-product opportunities and support integration of shared capabilities.
We are a technology company specializing in data science and AI solutions. With over 1,800 talents across 7 global sites, we are a Great Place to Work certified employer that values diversity and inclusion.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
Architect, build, and operate production-grade agentic AI systems for enterprise identity security.
Design multi-agent systems with orchestration, tool use, and planning loops that operate reliably in production.
Lead technical decisions on agentic architecture, model integration, and retrieval-augmented generation pipelines.
Veza is a pioneer in identity security, providing an Access Graph platform that maps identity ecosystems across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management and now part of ServiceNow, Veza serves global enterprises like Blackstone and Expedia.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
Design, build, and integrate AI/ML capabilities supporting mission workflows in secure government cloud environments using FedRAMP-authorized AWS GovCloud services.
Develop production-quality AI/ML applications and supporting services using Python, applying standard engineering practices such as source control, automated testing, and CI/CD.
Implement Generative AI and Retrieval-Augmented Generation (RAG) patterns, including document ingestion, embedding generation, retrieval, and model inference.
True Zero Technologies is a veteran-owned small business specializing in security resilience and technology services, focused on enabling people and technology to deliver top-tier outcomes. The company has been recognized as a Best Places to Work honoree and an Inc. 5000 fastest-growing company, with a people-first culture.
Embed with enterprise customers to prototype and ship production-grade AI-native applications and agentic workflows.
Advise engineering leadership on AI-native adoption strategy, tooling selection, and rollout sequencing.
Assess capability gaps and drive adoption of AI-native practices across the whole product engineering organization.
Astra provides an AI-native development platform and consulting services to help enterprises adopt AI-native software engineering. The company culture values AI-first, customer obsession, and continuous learning, with a focus on transforming engineering organizations.
Lead the engineering strategy and execution for enabling customer AI agents to securely and reliably consume Twilio platform capabilities.
Build and scale systems that power AI agents for Twilio’s internal business operations, improving efficiency and automation.
Collaborate across product, platform, security, and go-to-market teams to identify high-impact AI agent use cases and deliver production-ready solutions.
Twilio is a communications platform that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide. They are a remote-first company with a strong culture of connection and global inclusion.
Design, build, and operate production-grade agentic systems for developers.
Develop core agent infrastructure including orchestration, tool execution, and evaluation.
Own projects end to end from opportunity identification to launch and iteration.
Our partner is a fast-growing Series C technology company that builds AI-powered developer tools. The organization is fully remote with an autonomous culture focused on engineering ownership and collaboration.