Own AI features end-to-end, from agentic workflows and RAG pipelines to production infrastructure.
Build evaluation frameworks and experimentation loops to turn models into reliable, production-grade systems.
Partner with product and domain experts to push the frontier of AI capabilities inside an ERP.
DualEntry builds an AI-native ERP that automates manual data entry for accounting teams, serving companies from $5M ARR to NYSE-listed firms. It is a small, fast-growing startup with a culture of urgency and ownership, backed by top venture capital firms.
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
Own architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
Manage evals and observability for production AI, ensuring system accuracy and detecting regressions.
Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. It is a remote-first team that takes craft seriously and moves with intention, building a cutting-edge AI company in mortgage technology.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.
Build AI agents, workflows, and automations that solve real customer and operations problems.
Apply LLMs, retrieval, and tool calling to practical financial workflows.
Create AI-assisted experiences for onboarding, support, KYC, and risk review.
We are the leading insurance platform in Southeast Asia, helping people plan, save, and grow their money. With over 20 nationalities working remotely and from offices, we are expanding to offer spending, saving, investing, and more.
Design and ship AI agent systems end to end, from experiments to production, owning data access layer and retrieval strategy
Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
Set the technical direction for AI at Kota and raise the bar on engineering practice
Kota is reimagining insurance and retirement benefits for the modern workforce. Founded in 2022, we have raised more than 20M EUR and our team is spread across the world.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Develop and integrate AI-powered systems to support EdReports' curriculum review process, including data pipelines, retrieval systems, and prompt workflows.
Build internal tools and interfaces for users to interact with AI outputs, ensuring accessibility and security.
Collaborate with product managers and subject matter experts to translate user needs into scalable technical solutions.
EdReports.org is a nonprofit that publishes free, online, evidence-rich reviews of instructional materials to improve curriculum quality. They have a remote-first culture and are committed to diversity, equity, and inclusion.
Design, train, and ship ML systems for governance and security like anomaly detection and trust scoring.
Build data pipelines, model serving, evaluation frameworks, and feedback loops.
Set technical direction, own architecture, and help recruit and mentor as the team grows.
Docker provides developer tooling trusted by over 20 million monthly users and billions of container pulls. They are a globally distributed, remote-first team building tools for software delivery.
Build AI agents that interact with customers and handle accounting autonomously.
Construct an accounting ledger from scratch and integrate with financial data providers.
Ship new features daily in Typescript/Node/Svelte, making quick decisions and taking risks.
Synthetic synthetically recreates bookkeeping using AI, processing financial data and managing workflows autonomously. Founded in 2025, we are a five-person team backed by Khosla Ventures, building on experience from Bench Accounting and Teal.
Lead technical discovery with customers to understand integration requirements and risk decisioning needs.
Design and deliver proof-of-concept implementations using agentic AI solutions.
Own end-to-end customer implementations from integration design to production go-live.
Our partner company builds AI-driven risk infrastructure for financial services, focusing on fraud detection, credit decisioning, and compliance. They foster a collaborative, mission-driven culture with experienced leaders in AI and fintech.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.