Architect, develop, and deploy complex agentic systems including orchestration and tool use.
Build production-grade AI and machine learning systems using Python.
Translate cutting-edge AI research into scalable, production-ready solutions.
They are a partner company specializing in AI and data solutions for diverse clients. Their high-performing team values intellectual curiosity, ownership, and impact.
Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
Define evaluation criteria and agent architectures for multi-step engineering workflows.
Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.
Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate LLMs and traditional ML models into performant, scalable architectures.
Write clean, well-structured, and testable Python code following best practices.
NovoEd is a fast-growing product company integrating cutting-edge AI capabilities into its core offering to stay competitive and deliver exceptional value to customers. It is a small, fast-moving team with high autonomy.
Lead the technical design, development, and delivery of major AI initiatives, including AI-powered assistants and generative AI features.
Drive early improvements in AI quality, reliability, and performance by strengthening evaluation frameworks and implementing measurable enhancements.
Define and influence architectural decisions across engineering teams, with particular responsibility for AI architecture and shared platform infrastructure.
Our partner builds AI-powered solutions to enhance customer experiences, leveraging a proprietary dataset from approximately 1,200 aesthetic medical practices. The company fosters a collaborative, inclusive, and ownership-driven engineering culture with a focus on speed, care, and continuous learning.
Build evaluations to measure and improve AI reasoning in complex, high-stakes decisions.
Collaborate with engineers, product, and domain experts to turn observed failures into testable improvements.
Own the quality of shipped systems, from code reviews to monitoring and integration.
Elicit builds AI systems that help research and business teams make evidence-based decisions on high-stakes questions. They are a remote-friendly, collaborative team that values rigorous thinking, experimentation, and in-person retreats.
Ship the first production agents with Product Managers, from brief creation to launch.
Shape the shared architecture and standards for orchestration, skills, memory, evals, and guardrails.
Own production quality including observability, testing, security, and cost with human approval at each gate.
Workleap is a Montreal-based tech company building impactful software products for managers and IT teams. With over 15,000 clients, they maintain a builder culture focused on fast iteration and meaningful impact.
Lead research and development of multimodal foundation models using sensor, video, and physiological signals.
Design self-supervised pretraining and sensor fusion approaches for heterogeneous time series and computer vision.
Validate model outputs against gold-standard references and publish research at top venues.
Tonal builds an intelligent strength training platform that uses multimodal sensor data to personalize fitness coaching. It is a growing remote-first team with a research-driven culture focused on machine learning, biomechanics, and product impact.
Own the AI that assesses patients for US mental healthcare, from conversation to treatment recommendation.
Build evaluation harnesses and simulated patient conversations to test every configuration before deployment.
Raise the engineering bar through architecture, code review, and mentorship while ensuring regulatory compliance.
Limbic develops AI mental health chatbots for patient assessment and therapy, with clinical validation and FDA/NHS adoption. The company has supported over 820,000 patients and emphasizes safety, science, and an inclusive culture.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Drive adoption of Tenstorrent's AI products by collaborating with enterprise customers and the sales team.
Provide technical expertise in AI/ML to translate complex concepts for non-technical stakeholders.
Partner with sales operations and product teams to shape future product enhancements from customer feedback.
Tenstorrent is an AI technology company developing high-performance RISC-V CPUs and AI platforms. The diverse team of technologists values collaboration, curiosity, and solving hard problems.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Research and develop new methods that push the frontier of Speech AI.
Improve data quality, build evaluation harnesses, and analyze production model accuracy.
Partner with researchers and engineers to turn research prototypes into production-ready systems.
AssemblyAI builds best-in-class Voice AI models powering next-generation voice applications. With under 100 employees, the company is lean, capital-efficient, and meritocratic, giving every team member outsized ownership and impact.
Build evaluation frameworks for AI agents, including datasets and metrics for real-world task performance.
Design experiments to compare models and tools, identifying regressions and trade-offs.
Investigate agent failures and improve performance across models, harnesses, and tooling.
Gauntlet builds the financial systems of the future, operating across the onchain finance stack to offer vault products. They serve over $1.7B in client TVL across fintechs, protocols, exchanges, and capital allocators, combining traditional finance and crypto-native expertise.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Conduct research to develop new functionalities and improve existing technologies across fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets.
Partner with research and engineering teams to transition prototypes into production-ready systems and publish findings in top conferences.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Backed by leading investors and protecting billions of interactions annually, we maintain a remote-first culture and focus on innovative security research.
Design and implement agentic workflows combining LLM reasoning, structured data, and external tools to accelerate new product delivery.
Lead experimentation with multi-step reasoning, RAG, tool orchestration, and emerging paradigms to improve analyst workflows.
Shape Apptopia's long-term AI strategy and core modeling efforts, from AI-native systems to LLM-derived features and ensemble methodologies.
Apptopia provides actionable competitive intelligence to investment firms and financial institutions by estimating worldwide downloads, revenues, and active users for every mobile app, plus app user behavior insights. It's a high-growth startup backed by Mark Cuban and ABS Capital, serving clients like Google, Facebook, and top hedge funds with an intuitive business intelligence tool.
Design and improve AI systems for extracting structured reasoning signals from technical interviews.
Build LLM-powered pipelines for semantic analysis, behavioral feature extraction, and evaluation.
Develop scoring, calibration, and benchmarking methods grounded in measurable evidence.
APADCode is an early-stage AI startup building an AI-powered technical interview platform that evaluates how candidates reason and solve problems. The company is a small, early-stage team with a culture of high ownership, direct collaboration, and minimal bureaucracy.
Design, build, and operate AI systems and agentic workflows that connect foundation models to data, tools, and applications.
Own production quality: observability, testing, security, and cost built in from the start.
Define reusable patterns and drive architecture decisions across quality, risk, and cost.
Workleap is a Montreal-based tech company founded in 2006, making simple products that matter for work, including Workleap Agent and ShareGate. With over 15,000 companies trusting us, we value builders, pragmatism, and reliable delivery, and are intentional about who joins.
Own LLM and VLM support on Metis and Europa AIPUs, from studying new models to shipping them in the Voyager SDK.
Use AI coding agents daily to build, test, and verify your work, combining LLM/VLM knowledge with solid software engineering.
Productize results into supported Voyager SDK features with stable APIs, tests, documentation, and release gates.
Axelera AI is a deep-tech company creating the next-generation AI platform to advance humanity and improve the world. They have raised $450M, employ 250+ people (60+ PhDs) across 21 countries, and foster an open, innovative, and inclusive culture.