Architect, design, build, deploy, and maintain Model Serving infrastructure for a world-class Detection Engine.
Own projects that scale model serving and data processing to handle 10x traffic, including real-time streaming pipelines and online feature serving.
Collaborate with MLE and Data Science teams to build the ML Training platform, improving MLE velocity and model precision and recall.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform, and we foster a culture of innovation and impact.
Build and maintain production-grade machine learning infrastructure for AI governance and trust, including model serving, evaluation, and monitoring.
Develop low-latency inference systems, model registries, and evaluation pipelines for reliable model lifecycle management.
Design and implement red-team testing, drift monitoring, and continuous retraining loops using telemetry and audit data.
The company builds AI governance and trust infrastructure, including production ML systems for AI agents. It offers a remote-first, international engineering organization with a focus on security and reliability.
Own and evolve AWS infrastructure powering real-time AI voice and workflow automation systems.
Drive reliability, scalability, and operational rigor across the multi-agent runtime.
Mentor engineers and design secure, compliant platform foundations for rapid product expansion.
Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry, starting with voice and expanding into workflow automation. The fast-growing startup has raised $72M, including a $50M Series B in October 2025.
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 maintain cloud infrastructure, CI/CD pipelines, observability, and security for research and production systems.
Build internal developer tools and automation to enhance engineering and research team efficiency.
Enhance build, test, and release processes to smoothly transition prototypes into production.
The company is an AI/ML firm focused on advancing agent research and product deployments through robust infrastructure and developer tools. It operates in a research and enterprise environment, emphasizing scalability and innovation.
Build new functionality within a fast-moving product, taking ambiguous ideas from design to rigorous experimentation within weeks.
Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
Build production-grade ML systems at Twilio scale, leveraging the latest AI development stacks to focus on core differentiation.
Twilio is a cloud communications platform that enables businesses to create personalized customer experiences through APIs and AI-driven solutions. The company is remote-first, serving hundreds of thousands of businesses, and fosters a culture of connection, inclusion, and innovation.
Design, deploy, and optimize data and AI/ML systems on AWS end-to-end.
Maintain and evolve production platforms, monitoring for drift and improving reliability.
Partner with AWS Professional Services and client teams to align data and AI architecture with business goals.
We are an applied AI engineering firm building AI co-workers that integrate into enterprise operations and deliver measurable client results. Founded in 2009, we are a smaller, senior team with delivery centers in the US, Canada, Eastern Europe, and Latin America, averaging 15+ years of experience.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Design, build, and deploy production ML and LLM-based systems for enterprise clients.
Own technical delivery end-to-end from architecture to deployment and iteration.
Mentor and support other ML engineers through code reviews and technical guidance.
TensorOps is a boutique AI consultancy that designs and ships production-grade AI systems for enterprise clients. The company has shipped AI systems impacting 200M+ end users daily, partnered with 11 unicorns, and operates fully remotely with a supportive, fast-growing culture.
Architect and maintain cloud infrastructure for F5's AI security platform, ensuring scalability and reliability.
Design CI/CD pipelines, manage Kubernetes workloads, and implement serverless technologies.
Build comprehensive monitoring, security, and compliance practices across the B2B SaaS solution.
F5 is a global leader in application delivery and security, helping organizations create, secure, and run applications. With over 6,400 employees and 553 patents, F5 serves more than 23,000 customers across 170 countries and fosters a human-first, inclusive culture.
Architect and implement infrastructure for seamless migrations of critical systems, keeping uptime and reliability front and center.
Design, build, and maintain the tooling and processes that let our SaaS products scale and run themselves on AWS.
Partner with developers to strengthen the reliability, performance, security, and scalability of our application architecture.
Duetto is the hospitality industry's leading revenue management platform, founded in 2012 by former Wynn Resorts executives to build the world's first Revenue & Profit Operating System for hotels, resorts, and casinos. Named #1 Revenue Management Software by HotelTechAwards four years running and #1 Best Place to Work in Hotel Tech in 2025, Duetto is backed by GrowthCurve Capital and passionate about hospitality.
Build and operate AWS infrastructure, ensuring security, reliability, and scalability.
Design and maintain deployment pipelines, observability, and incident response.
Collaborate with application engineers and contribute to platform architecture decisions.
inKind connects diners with restaurants through an app, offering 20% back on every meal. It partners with thousands of restaurants and has millions of users, fostering a win-win philosophy for diners and restaurants, with a small, growing team focused on hospitality and community.
Design and build autonomous AI agents using modern agentic frameworks to analyze infrastructure and make intelligent decisions.
Develop and deploy ML models and MLOps pipelines that learn from infrastructure patterns to optimize resource policies and scaling.
Own AI systems end-to-end, from architecture to production, ensuring performance, reliability, and cost-effectiveness.
ScaleOps is redefining autonomous cloud and AI infrastructure by freeing DevOps teams from manual resource management, reducing cloud costs by up to 80%. Backed by over $210M from leading VCs, the company is trusted by Fortune 100 companies and fosters an innovative, mission-driven culture.
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.
Design and develop AI models, agents, and workflow automation for clinical terminology and content operations, taking them from experimentation to production.
Build agentic workflows combining LLMs, tools, APIs, and retrieval to complete complex tasks, and implement MLOps practices for reliable deployment.
Partner with data science and clinical teams to productionize existing agents and drive continuous improvement with a focus on auditability and human-in-the-loop review.
IMO Health provides clinical terminology solutions for healthcare organizations, enabling accurate data normalization and interoperability. They are a mid-sized company focused on innovation and collaboration, emphasizing a culture of technical excellence and cross-functional teamwork.
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.
Architect and scale AWS and Kubernetes infrastructure.
Build and maintain Terraform modules and drive capacity planning.
Own observability, CI/CD, and networking security.
Scribe is a Specialized Intelligence platform that automatically captures how work happens and turns it into a living asset for people and AI agents. Based in San Francisco, we're a LinkedIn Top Startup valued at over $1B with 7 million users across 600,000 businesses.
Build and run the MCP fleet, including self-hosted and managed MCP servers for business apps and databases, and manage the MCP registry.
Own the agent platform other teams build on, including deploy patterns, guardrails, observability, and hosting substrate.
Make AI spend and usage visible by building the Bedrock-to-Snowflake pipeline with identity-matched usage tracking and threshold alerting.
Sysdig created Falco, the open standard for cloud threat detection, and leads the cloud security market with runtime insights, open innovation, and agentic AI. Trusted by over 60% of the Fortune 500, Sysdig is recognized as a Best Place to Work and one of Deloitte's fastest-growing companies.
Build and maintain CI/CD pipelines, infrastructure as code, and containerized workloads on AWS to enable self-service delivery for engineering teams.
Onboard new services through golden paths, manage environment promotions, and ensure production readiness with observability and security controls.
Use AI tools to accelerate development and troubleshooting while owning all changes, and contribute to internal tooling and documentation.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and offers an inclusive, equitable work environment.
Lead the design, development, and delivery of Gen AI and Machine Learning use cases for a US financial client.
Partner with Solution Architect and Squad Leader to define scalable, secure solutions balancing business impact and technical constraints.
Capture architectural decisions in diagrams and ensure functional and non-functional requirements are met, while leading and training your team.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience, we are 8,000+ CI&Ters across 25+ countries, fostering a collaborative and innovative culture.