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.
Build and ship LLM-powered applications and AI agent workflows.
Design systems for reasoning, planning, memory, tool use, and multi-step execution.
Optimize AI systems for quality, latency, and cost, and establish production practices for observability and evaluation.
Gina's Tech Jobs is a technology recruiting firm that connects companies with engineering and IT professionals. They focus on remote and onsite placements, offering personalized recruitment services and career support.
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.
Guide architectural decisions across products, reviewing solutions from internal teams and vendors.
Establish shared engineering standards and modernise legacy systems for reliability and cost-effectiveness.
Define guardrails for production LLM systems and collaborate with teams on Kubernetes and cloud infrastructure.
INFUSE is a technology company that develops software products, including AI and LLM-based solutions, across a large engineering landscape. Its software department spans 500+ repositories and fosters a remote-first culture with access to cutting-edge AI tools and human-centric values.
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.
Lead the effort to make Runpod the fastest and most cost-efficient place for LLM inference, owning performance end to end.
Profile and diagnose performance bottlenecks across the serving stack, from scheduling to kernels, and implement fixes.
Work closely with product and infrastructure teams to shape how inference is offered, turning improvements into production-ready defaults.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We're a small, remote-first team that takes ownership seriously, moves fast, and has processed more than 20 billion inference requests.
Own end-to-end ML systems from data and training to evaluation, inference, and deployment.
Build and evolve training, fine-tuning, and inference infrastructure for large models.
Partner with research and application engineering to turn model capabilities into product improvements.
Next Step Systems is an IT recruiting and staffing agency that connects companies with machine learning and technology talent. They specialize in placing candidates in remote and on-site roles across the United States and emphasize a fast-paced, results-oriented culture.
Owns the architectural direction for Code Metal's AI platform and the team building it.
Builds production-grade inference serving, model gateways, agent harnesses, and context-engineering services.
Instruments the stack end to end and drives experimentation and observability for reliable AI systems.
Code Metal provides automated software engineering using AI and formal verification to produce provably correct code. Founded in 2023 and backed by Accel, Salesforce Ventures, and others, it serves defense and enterprise customers from offices in Boston and San Francisco.
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 and operate backend systems serving AI-powered insurance workflows in production.
Design and implement AI orchestration layers connecting models, APIs, workflows, and business logic.
Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
We are a platform that leverages AI for decisioning, automation, and orchestration. We are a global engineering team working across multiple countries to build reliable, scalable AI systems.
Build and scale massive distributed compute and storage systems for frontier model training.
Architect multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
Design future-proof storage and metadata systems to handle exabyte-scale growth.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. We are a dynamic, collaborative team passionate about AI, with a diverse workforce distributed across Europe, North America, Asia, and the Middle East.
Own the internal infrastructure and support queue, from Google Workspace administration to cloud provisioning and Kubernetes deployments.
Support customer project deployments by executing runbooks, troubleshooting issues, and contributing to hardening and compliance work.
Collaborate with a fully remote, distributed team using asynchronous communication, with opportunities to grow into environment builds and platform ownership.
OpenTeams helps enterprises and governments build AI they control, govern, and evolve themselves. The company is built by people with deep roots in open-source, with a culture of ownership, remote collaboration, and diversity.
Manage and optimize Kubernetes clusters in GKE through Terraform.
Design and implement golden paths and automation strategies that empower developers to self-serve.
Serve as the technical point-of-contact for GCP and Kubernetes queries, supporting compliance and internal teams.
Prolific is the architect of human data infrastructure, connecting researchers and companies with a global pool of participants to collect high-quality, ethically sourced behavioral data for AI development. They are a mission-driven, remote-first company at the forefront of AI innovation.
Build foundational platform services for AI products, including user management, authentication, permissions, and resource access.
Own full-stack features end to end, from backend APIs to customer-facing dashboards and internal tools.
Work remotely with technical autonomy, collaborating across engineering and product teams on scalable systems.
They build foundational systems that power a suite of innovative AI products used by millions worldwide. They are a high-growth, AI-first engineering organization with an autonomous, low-bureaucracy culture.
Design, build, and operate secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure).
Develop and evolve infrastructure as code for repeatable, auditable, and scalable system provisioning.
Partner with product and application engineering teams and participate in an on-call rotation.
Abnormal AI is an AI-native behavioral security platform protecting enterprises from advanced threats by analyzing communication and access behavior. It protects over 25% of the Fortune 500 and fosters a fast-paced, remote-first culture.
Design, develop, and maintain scalable data and application services supporting AI-driven solutions
Build and maintain workflow orchestration, integration, and automation capabilities across enterprise platforms
Develop and optimize backend services, APIs, and microservices using modern cloud-native architectures
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, streaming, and theme parks. We are a subsidiary of Comcast Corporation and foster an inclusive culture with a diverse workforce.
Lead the end-to-end machine learning lifecycle, from data preparation and model training to evaluation, inference, and deployment.
Build and optimize scalable training, fine-tuning, and inference pipelines for large-scale models on GPU infrastructure.
Establish production best practices for model quality, reliability, safety, and measurable performance improvements.
This company builds production-grade machine learning systems and large-scale GPU-powered inference pipelines. It is a fully remote team that values technical rigor, collaboration, and hands-on engineering.
Ensure reliability, performance, and stability of a live multiplayer gaming environment.
Own and maintain CI/CD pipelines, monitoring, and Infrastructure as Code solutions.
Investigate bugs, crashes, and performance issues using logs, metrics, and diagnostic data.
They operate a large-scale realm-versus-realm MMORPG and maintain its live multiplayer infrastructure. They foster an inclusive, diverse, and fully remote workplace focused on operational reliability.
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.