Jobs at Duku AI

Design and build autonomous AI testing systems that understand software behavior, identify critical failures, simulate real users, and self-heal as codebases evolve. Collaborate with engineering and product teams to define agent interactions with real-world code, own projects from concept through production, and help establish the technical standards and culture of a high-autonomy team.

Build pipeline from scratch, define the ideal customer profile, sell autonomous AI-native QA software to CTOs and founders, close B2B SaaS deals, and develop a repeatable sales playbook. The Account Executive will translate technical customer pain into business value, operate autonomously in an ambiguous startup environment, collaborate with founders and product leadership, and provide customer insights to influence roadmap and category strategy.

Build and define a full-stack platform for autonomous AI testing agents. Responsibilities include developing LLM-powered testers, experimenting with models, embeddings, and retrieval pipelines, owning Python and TypeScript applications plus cloud infrastructure, shipping rapidly, engaging users, and turning prototypes into production software.

Support founders across product, engineering, and operations; participate in user and partner calls; build GTM, product, finance, and hiring systems; conduct market and competitor research; manage special projects; contribute to feature specifications, experiments, and AI-agent evaluation. The role requires high ownership, analytical thinking, adaptability, curiosity about AI and developer tools, and comfort working directly with founders in an ambiguous startup environment.

Design and build autonomous AI testing systems that understand software behavior, identify critical failures, and self-heal as codebases evolve. Collaborate with engineering and product teams to define agent interactions with real-world codebases, own projects from concept through production, and help establish technical standards for a high-autonomy team.

Design and build autonomous AI testing systems that understand software behavior, identify failures, interact with real-world codebases, and self-heal as products evolve. Own projects from first principles through production, collaborate with engineering and product teams, and help establish technical standards for a high-autonomy team focused on scalable developer tooling.

Build and own growth from zero across outbound, content, partnerships, communities, and experiments. Work with founders on go-to-market loops, translate customer signals into repeatable systems, test messaging and conversion hypotheses, build lightweight growth infrastructure, and align growth with product value. This early-stage role requires high ownership, rapid execution, commercial intuition, clear communication, and comfort operating without an established playbook.

Design and build autonomous AI systems for software testing at scale. Define how agents understand and interact with real-world codebases, own solutions from concept through production, and help establish technical standards for a high-autonomy team. The role combines machine learning, AI systems, developer tooling, and product engineering, with a focus on creating reliable agents that detect software failures and adapt as products evolve.

Build and define a full-stack autonomous testing platform powered by AI agents. Responsibilities include developing LLM-powered testers, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, deploying frequently, engaging with users, and converting prototypes into production software. The role requires high ownership, rapid execution, product focus, and experience working in startup environments.

Build and define a full-stack platform for autonomous AI software testing. Responsibilities include developing LLM-powered testing agents, experimenting with models, embeddings, and retrieval pipelines, owning Python, TypeScript, and cloud infrastructure, deploying frequently, and collaborating directly with users and founders to shape the product roadmap.

Build and deploy AI-powered autonomous testing agents that simulate users, identify software failures, and self-heal as products evolve. The role involves working across frontend, backend, and cloud infrastructure; experimenting with models, embeddings, and retrieval pipelines; engaging with users; and turning prototypes into production systems.

Build and define an AI-powered autonomous software testing platform. Responsibilities include developing LLM-powered testing agents, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, shipping production software rapidly, and collaborating directly with users and founders to shape the roadmap.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop reliable CI/CD pipelines, manage infrastructure as code with Terraform or Pulumi, orchestrate large-scale Kubernetes workloads, and own observability, alerting, incident response, reliability, cost, performance, security, and supply-chain hygiene.

Build pipeline from scratch, define the ideal customer profile, sell autonomous AI-native QA software to CTOs and founders, close new business, and create a repeatable sales playbook. Translate technical product capabilities into business value, provide customer insights to founders and product teams, and help establish a new software testing category.

Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD pipelines, infrastructure as code, Kubernetes-based containerized workloads, observability, alerting, incident response, reliability, cost optimization, and security practices as the platform scales.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop reliable CI/CD pipelines, manage infrastructure as code with Terraform or Pulumi, orchestrate large-scale Kubernetes workloads, and establish observability, alerting, and incident response. Optimize cloud costs and performance while maintaining security, reliability, and rapid deployment capabilities in a high-ownership startup environment.

Build and define a full-stack platform for autonomous AI-powered software testing. Responsibilities include developing LLM-powered testing agents, experimenting with models, embeddings, and retrieval pipelines, owning frontend, backend, and cloud infrastructure, shipping daily, engaging users, and converting prototypes into production features.

Design, build, and operate cloud infrastructure for autonomous testing agents. Own CI/CD, infrastructure as code, Kubernetes-based workloads, observability, alerting, incident response, reliability, cost optimization, security, and platform scalability. The role requires operating production systems under real load and enabling fast, confident software delivery.

Design, build, and operate cloud infrastructure for autonomous testing agents. Develop hardened CI/CD pipelines, manage infrastructure as code, orchestrate large-scale Kubernetes workloads, and establish observability, alerting, and incident response. Optimize reliability, performance, and cloud costs while maintaining secure practices around secrets, least privilege, and software supply chains.

Develop and deploy reinforcement learning systems that autonomously test modern web applications. Build agents capable of perceiving applications through vision and structure, exploring edge cases, learning from sparse rewards, scaling across environments, and transferring knowledge between applications. The role requires shipping production ML systems, advancing RL methods, and optimizing agents for large-scale GPU infrastructure.