Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Evolving the AI knowledge platform with retrieval, indexing, and synthesis layer for organization-wide use.
Architecting and operating agentic infrastructure on AWS for multi-step AI systems.
Designing graph-based retrieval across data sources for multi-hop queries.
ShiftKey is a healthcare workforce marketplace that connects facilities with licensed professionals to fill shifts, mitigating staffing shortages. The company is in a high-growth phase with a friendly and engaging work environment.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Define and execute the research strategy for core AI intelligence, including reasoning, planning, memory, and context representation.
Lead technical decisions on model architecture, balancing proprietary solutions with state-of-the-art models.
Establish and oversee AI alignment, safety, and guardrail strategies to ensure responsible system behavior.
This company develops an advanced AI platform to automate complex digital workflows. They are a small, highly experienced team with a fast-moving culture focused on cutting-edge machine learning.
Design, deploy, and optimize production-grade machine learning systems for the full ML lifecycle.
Build scalable MLOps platforms, CI/CD workflows, and model serving infrastructure.
Collaborate with engineering teams to improve platform scalability, security, and operational best practices.
They build scalable MLOps infrastructure for enterprise AI solutions. They foster a collaborative, remote-first culture focused on innovation and professional growth.
Build and scale massive distributed compute and storage systems for AI training.
Architect multi-cluster orchestration and optimize workload placement across global regions.
Design future-proof storage formats and implement metadata systems for exabyte-scale growth.
Mistral provides full-stack AI solutions, from frontier models to developer tools. They are a dynamic, collaborative team with a diverse workforce, passionate about innovation and low-ego teamwork.
Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.
Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Lead a product engineering squad of 8-15 engineers, focusing on people development and delivery practices.
Collaborate with cross-functional teams to align priorities and drive AI-native engineering practices.
Champion engineering excellence through strong testing, quality, and reliable production systems.
Our partner is a company building advanced AI-powered customer experience solutions. They are a fast-growing AI company with a remote team and a focus on innovation.
Lead the AI Platform team building the core AI Gateway for high-throughput LLM traffic.
Own strategy and architecture for processing up to 1 trillion LLM tokens per week with scalability.
Partner with product, research, and executive teams to align roadmap and technical governance.
AlphaSense provides AI-driven market intelligence to help companies make decisions. They have over 2,000 employees globally and are headquartered in New York City.
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.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
Design and build scalable backend services using Python, AWS, and Kubernetes to improve developer productivity.
Lead technical initiatives across the engineering organization with 7–10 years of experience.
Work on production AI/LLM applications and microservices architecture in a fully remote European team.
Codeminders develops cutting-edge software solutions for high-tech companies, focusing on AI, mobile apps, video conferencing, and cloud computing. They collaborate with world-class engineers from the US and Ukraine and uphold strong ethical standards with no business ties to Russia or Belarus.
Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
Take end-to-end ownership of core ML services and data pipelines from design to deployment and continuous improvement.
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find products and enables brands to drive revenue. The company is fully remote, diverse, and values ownership and collaboration.
Lead a talented engineering team building advanced AI-powered systems for scientific discovery.
Translate open-ended research objectives into clear technical strategies and scalable solutions.
Balance innovation speed with reliability, security, and operational excellence.
The partner company is building advanced AI-powered systems for scientific discovery. It offers a collaborative environment where engineers work alongside researchers and technical experts.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Evolving the AI knowledge platform with retrieval, indexing, and synthesis for organization-wide use.
Architecting and operating agentic infrastructure on AWS with cost guardrails and observability.
Partnering with product engineering to define the AI platform API surface and building reference agent implementations.
ShiftKey is a healthcare workforce marketplace that connects facilities with licensed professionals to fill shifts, addressing staffing shortages. The company fosters an inclusive and collaborative culture, valuing diverse perspectives.