Design and build ML infrastructure and GenAI models for voice and speech, including LLMs, RAG, and real-time audio at scale.
Partner with engineering teams to integrate AI capabilities into customer-facing products, ensuring scalable and reliable solutions.
Mentor engineers, explore emerging AI tech, and contribute to a collaborative, autonomous, and innovative culture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company focuses on using technology to streamline recruitment processes and ensure fair candidate evaluation.
Build production AI and agentic workflows end to end, from PRD and architecture through implementation, evaluation, and iteration.
Own the retrieval stack, model selection, and evaluation harness to ensure measurable quality, latency, and cost.
Design and maintain a reusable component library and set engineering standards for the CoE and partner teams.
QAD | Redzone builds an intelligent manufacturing and supply chain platform that connects people, processes, and data into a single System of Action. It fosters a collaborative culture of smart, hard-working people who support one another and prioritize diversity, equity, and inclusion.
Generate and implement machine learning models to solve complex communications challenges.
Identify opportunities to improve model performance and scalability.
Perform data analysis and feature engineering to enhance model accuracy.
Cultivate a collaborative environment by sharing insights and best practices with the team.
Contribute to the development of Twilio's AI-driven hiring and communications platforms.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences. With a remote-first culture and strong emphasis on connection and global inclusion, Twilio values diverse experiences and encourages employees to bring something new to the table.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Refactor and upgrade existing ML models into standardized, production-ready modular contracts.
Engineer resilient ML workflows with DAG-based orchestration tools like Argo Workflows and Airflow.
Build infrastructure for shadow testing, A/B testing, and structured feedback pipelines for safe deployment.
Smart Working connects skilled professionals with outstanding global teams and products for full-time, long-term roles. It is a remote-first company known as one of the highest-rated workplaces on Glassdoor, fostering a genuine community that values growth and well-being.
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 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.
Design, build, and ship production services, APIs, and user-facing interfaces.
Build and operate production AI systems including RAG, fine-tuning, and inference optimization.
Architect AWS/GCP environments with Kubernetes and Terraform and control cloud/AI costs.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries, the company values a diverse and inclusive workplace.
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.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Design and maintain reliable, low-latency ML APIs to integrate Safety AI model outputs into cloud applications.
Build scalable data pipelines for continuous model iteration, backtesting, and online evaluation.
Optimize model artifacts for production and monitor rollout health, ensuring predictable failure modes.
Samsara builds a Connected Operations Cloud that helps physical operations use IoT data to improve safety, efficiency, and sustainability. Samsara is a recently public company with an employee-led remote culture and a long-term focus.
Lead the design, implementation, deployment, and operation of complex platform capabilities supporting the machine-learning lifecycle.
Build reusable platform components, standards, and automation while improving reliability, scalability, and observability across ML systems.
Partner with Data Science, Product, Risk, Fraud, and Engineering teams to translate ambiguous business needs into practical technical solutions.
Oportun is a mission-driven financial services company that helps members build a better financial future through intelligent borrowing, savings, and budgeting. The company has provided over $22.7 billion in responsible credit and its culture emphasizes speed, high standards, and the thoughtful use of AI.
Develop high-performance, scalable web and task servers using Python and frameworks such as Django, Flask, or FastAPI.
Integrate AI and machine learning capabilities, including LLMs and numerical analysis, into web and task-processing services.
Design REST APIs, work with microservices and cloud platforms, and mentor junior engineers while owning technical architecture.
The hiring company specializes in building scalable, high-performance backend systems and integrating AI technologies into production. While team size is not disclosed, the culture emphasizes collaboration, mentorship, and continuous professional growth.
Refactor and productionise existing ML models, including NLP and generative AI solutions.
Build and maintain reliable ML pipelines with model evaluation, deployment, and observability.
Apply Applied AI techniques like RAG and integrate third-party AI APIs for production systems.
Smart Working is a remote-first talent company that connects skilled professionals with global teams and products. It is one of the highest-rated workplaces on Glassdoor, with a culture focused on growth, well-being, and belonging.
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.
Develop advanced ML models and agentic workflows to accelerate model development.
Use AI-assisted tools like Claude and Cursor to investigate model behavior and automate analysis.
Set technical direction, mentor engineers, and raise the bar for modeling rigor.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
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.