Serve as the technical bridge between Tenstorrent and customers across Southeast Asia, guiding evaluations and deployments of AI platforms.
Troubleshoot hardware and software issues, and translate complex AI/ML concepts for both technical and non-technical audiences.
Build trust with customers and internal teams through proactive problem solving and regional travel.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. They value collaboration, curiosity, and a commitment to solving hard problems.
Own the development, fine-tuning, and evaluation of in-house AI models from dataset design through to production deployment.
Run supervised fine-tuning and post-training experiments, establishing benchmarks and evaluation harnesses.
Take models to production on Stream's serving stack, tuning for latency, cost, and reliability at high volume.
Stream provides APIs and SDKs for building activity feeds, chat, and voice/video, powering over a billion end users worldwide. We are a team of over 120 peers from over 35 countries, with a casual social culture that values transparency and excellence.
Lead in-depth technical discovery with engineering teams and customer stakeholders to understand AI inference requirements.
Translate customer objectives into production-ready architectures and define PoC success criteria.
Identify recurring workload patterns and communicate insights to Product and Engineering for platform evolution.
They are a partner company focused on AI infrastructure and performance-sensitive AI inference workloads. They have an international, engineering-led team solving complex challenges at the forefront of AI.
Build and improve the inference layer of the Gcore Inference platform, integrating frameworks like vLLM and TensorRT-LLM.
Bring new language and multimodal models into production, optimizing latency, throughput, and cost efficiency.
Debug performance issues across model code, GPU execution, and Kubernetes, collaborating with cross-functional teams.
Gcore is a global provider of AI, cloud, network, and security infrastructure and software. They are a team of 550+ professionals with a collaborative culture and partnerships with Intel, NVIDIA, Dell, and Equinix.
Design, develop, and deploy production ML models for ego-motion estimation and localization using camera, LiDAR, and radar.
Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.
Collaborate with cross-functional teams and provide technical leadership in design reviews and mentoring.
Torc develops autonomous vehicle software for automated trucks, aiming to transform freight movement. As part of the Daimler family, they have a collaborative, energetic, and team-focused culture with competitive benefits.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Design and develop large-scale platforms for LLM training and AI workloads.
Tackle distributed-systems challenges including intelligent job scheduling and resource optimization.
Collaborate with international teams to build production-ready AI infrastructure.
This role is with a partner company, an AI-focused R&D team building infrastructure for large language models. They are a fast-moving, highly technical team with a collaborative and innovative culture.
Embedded with client teams to solve real business problems and ship working software.
Scope and design technical solutions, building production tools end to end.
Work directly with client stakeholders, translating ambiguous asks into shipped features.
AiStudio is an AI consultancy that embeds engineers directly inside portfolio companies of leading private equity firms to build production AI solutions that move real metrics. The company has a bias toward outcomes and ships code that drives cost savings, automation, and revenue.
Design and ship ML systems for document understanding, extraction, classification, and scoring to power Copilot and Autopilot features.
Own the full lifecycle of ML solutions from problem framing to production monitoring, using user feedback and error analysis to drive continuous improvement.
Partner with product, engineering, and accounting experts to integrate ML naturally into user workflows and define quality metrics that reflect real value.
Pennylane is a fast-growing fintech building the financial operating system for French SMEs and accounting firms, with a vision to expand across Europe. The company has grown to 1,000 employees, raised €400 million from Sequoia, and maintains a remote-friendly culture with a 4.6/5 Glassdoor rating.
Build reference architectures, benchmarks, and documentation that engineers trust.
Own the developer community, answering hard questions and setting the tone.
Write production-grade code for integrations and tooling that lower the barrier for new users.
Andromeda Cluster gives early-stage startups access to scaled AI infrastructure once reserved for hyperscalers. We are a unicorn with a small senior team, building the liquidity layer for global AI compute.
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.
Lead a remote team of engineers in designing and shipping production-grade agentic AI systems for enterprise clients.
Own solution design and system architecture across agents, tools, data, evaluations, and controls.
Personally implement critical components and guide client stakeholders through difficult technical decisions.
EggAI is an enterprise-focused generative AI company that helps large organizations move AI solutions from prototyping to production. Based in Munich, Germany, the company builds safe, reliable, and scalable AI systems for enterprise clients.
Own the infrastructure layer for AI workloads including inference serving, Kubernetes, and agent-sandboxing platforms.
Manage the serving tier for open-weight models, Kubernetes operators, and stateful data planes.
Oversee the sandbox runtime, control-plane services, and observability tooling.
AZX accelerates positive impact in critical industries through AI transformation, specializing in physics-informed ML and enterprise AI solutions for climate and sustainability. Founded in 2024, the company is a profitable public benefit corporation with a growing team working with category leaders in real estate, energy, logistics, and utilities.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Provide technical leadership for designing scalable, AI-integrated software solutions and guiding a distributed team.
Architect robust AI agents and APIs, refine prompt strategies, and decompose complex features into clear tasks.
Mentor developers on AI tool adoption and clean code practices, optimizing DevOps pipelines for efficiency.
Mitratech builds world-class products simplifying operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies globally, including 30% of the Fortune 500, with a diverse and inclusive culture focused on learning and fun.
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 architecture and direction of a group of Forward Deployed Engineers building autonomous intelligence systems.
Translate customer use cases into precise specifications and direct AI agents to generate production code.
Engineer context for reliable agent output and verify code correctness, security, and maintainability.
ServiceNow provides an AI platform for business reinvention, automating workflows to free people from busywork. They serve 85% of the Fortune 500 and foster an AI-native culture where technology and talent are unstoppable together.
Design and implement AI-powered capabilities for C++ developers, including debugging, code understanding, refactoring, and project navigation.
Provide hands-on technical leadership, shaping architecture and influencing direction through engineering expertise and product judgment.
Collaborate with product, ML, QA, and other teams to define and deliver the AI roadmap for the C++ ecosystem.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through fair, objective review. They leverage AI to streamline the hiring process, ensuring top-fit candidates are shortlisted for relevant roles.
Design, develop, and deploy AI/ML models including NLP, predictive models, and intelligent automation workflows.
Integrate LLM-powered features using APIs like OpenAI and implement RAG patterns and AI agent workflows.
Collaborate with cross-functional teams to translate requirements into AI use cases and contribute to engineering best practices.
We are a confidential US-based organization dedicated to leveraging AI and technology to drive business transformation. Our team values innovation and collaboration, and we foster a culture that supports employee growth and responsible AI practices.