Design and build backend services for AI-powered product features, including inference pipelines and orchestration layers around LLMs.
Develop high-throughput, low-latency distributed systems with monitoring, logging, and alerting across production services.
Collaborate with product, infrastructure, and AI engineers to optimize performance, caching, batching, and streaming.
This team is building an AI-native productivity platform that replaces repetitive digital work with reliable AI workflows. They are a small, focused product team working on cutting-edge AI infrastructure.
Design, build, and maintain robust, scalable, and secure infrastructure systems supporting Laurel's AI-driven platform.
Manage and optimize cloud infrastructure (AWS and Azure), Kubernetes orchestration, and CI/CD pipelines to increase deployment frequency and reliability.
Implement comprehensive observability, monitoring, and alerting to maintain system health and partner with engineering teams to optimize performance and cost-efficiency.
Laurel is an AI Time platform for professional services firms, automating work time capture and connecting time data to business outcomes for clients like EY and Crowell & Moring. The company comprises top AI, product, and engineering talent, is VC-backed by Google Ventures and IVP, and fosters an inclusive, ambitious culture.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Architect, design, build, deploy, and maintain Model Serving infrastructure using industry-standard AI tools.
Own projects that scale model serving and data processing services to handle 10x traffic.
Collaborate closely with MLE and Data Science teams to distill feedback and execute on strategy.
Abnormal AI protects the humans behind the world's most critical organizations from AI-powered cybercrime. Over 4,500 enterprises trust their behavioral AI platform, fostering a culture of innovation and security.
Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Design and develop foundational components and frameworks for our Agentic AI platform.
Collaborate with cross-functional teams to create platform solutions that empower developers.
Provide production support and ensure platform stability, working closely with ML engineers.
Legion builds secure, reliable AI systems that integrate with complex platforms, optimizing workflows and enhancing human capability. They work with partners like Palantir, Nvidia, HPE, and Oracle, and are looking for bold thinkers to shape the future of grounded AI.
Own a client's voice or chat agent end-to-end, from requirements through production and continuous iteration.
Engineer the agent's behavior by writing and maintaining instruction sets, and build automated evaluation gates.
Debug live conversations, work directly with US enterprise clients, and ship changes that impact real callers.
Rifa AI builds an AI agents platform for contact centers in regulated industries. They are a small team of passionate engineers with paying enterprise clients and growing revenue, backed by Seaborne Capital.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Ship the agent platform to production: event-triggered queue, model-agnostic runtime, durable state, human review gate, atomic rollback, and complete run logging.
Own the evaluation layer with golden suites, behavioral assertions, safety cases, and a CI gate that blocks regressions before merging.
Enforce governance in code: risk tiers, least-privilege credentials, permission gates, audit log, and autonomy classes where dangerous actions are structurally impossible.
Supabase is the Postgres development platform providing a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. With ~400 team members across 60+ countries, we are a born-remote, open-source-first company that builds tools developers love.
Design and deploy scalable AI infrastructure and agent systems for enterprise customers.
Work on Kubernetes cluster design, multi-agent system architecture, and CI/CD pipelines.
Engage directly with customers to assess needs and present technical recommendations.
LangChain builds the foundation for agent engineering, helping developers create production-ready AI agents. With $125M raised at Series B from top venture firms and 100M+ monthly open source downloads, they have a strong engineering culture and meaningful team impact.
Architect and own the enterprise AI data platform, including data ingestion, transformation, storage, and serving for all AI systems.
Design retrieval infrastructure for RAG applications, including embedding pipelines, vector stores, and hybrid search layers.
Own observability and evaluation frameworks for AI agents, ensuring output accuracy and audit trails.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across multiple continents, they work with ambitious companies in financial services, healthcare, media, and technology.
Design, build, and operate Kubernetes infrastructure for AI workloads using Terraform and GitOps.
Define SLOs, run incident response, and create runbooks for reliable AI platform operations.
Drive AI-specific observability, FinOps, and security practices across the platform.
We are an AI-native consulting partner working with clients like PayPal, adidas, and NatWest to build digital products and services. Our team of over 600 has scaled quickly, earning Great Place to Work-Certified status multiple years in a row.
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 build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Design and implement scalable agentic solutions for diverse use cases.
Build and maintain a centralized AI platform with unified APIs for cross-functional team access.
Lead technical discussions, mentor junior engineers, and set the technical vision for the AI platform roadmap.
Cotiviti is a healthcare data analytics company that provides payment accuracy and quality improvement solutions. The company has a large global workforce and emphasizes a collaborative, innovative culture.
Own, operate and evolve our Cloud and Kubernetes based Platform.
Collaborate with Product teams to enable and empower them to build and own their services.
Build tooling and AI powered integrations that reduce cognitive load of complex infrastructure operations.
AlphaSense provides AI-driven market intelligence and search to help companies remove uncertainty from decision-making. Founded in 2011, the company has over 2,000 employees globally and is headquartered in New York City.
Build and operate Lumin's security fabric engineered for reliability and scale across hundreds of environments.
Design and maintain agentic AI workflows using tools like Claude Code and MCP integrations to automate security platform engineering.
Write production-quality Python applications and tooling supporting platform operations and AI-assisted workflows.
Lumin Digital is a trailblazer in digital banking solutions, providing cloud-native digital experiences for credit unions and banks. We foster a culture of curiosity, innovation, trust, and respect, with a focus on collaboration and continuous improvement.
Own the technical path from customer interest to working deployment, integrating the platform into production AI environments.
Build and operate AI/MLOps pipelines, debug complex environments, and create prototypes and demos.
Translate customer needs into product improvements, partnering with Sales, Product, and Engineering.
Neuromorphic Labs is a Seed-stage AI startup building a trust layer for production AI, making security, governance, and control intrinsic to every model and deployment. Backed by top-tier VCs, the team is small and fast-paced, emphasizing ownership, high standards, and collaboration with exceptional builders.
Design, build, and own shared infrastructure for Interpretability research environments, data systems, and compute tooling.
Lead cross-team efforts with agentic engineering, security, compute, and storage platform teams.
Discover and resolve major organization-wide developer experience issues and help take interpretability methods from research code to dependable audit pipelines.
Anthropic is an AI safety company focused on building reliable, interpretable, and steerable AI systems. They are a quickly growing team of researchers, engineers, policy experts, and business leaders committed to beneficial AI.