<h1>Description</h1> <h2>About Superbench</h2> <p>Superbench is building the next generation of AI-powered sales and operations software for service businesses. We help companies that rely on inbound conversations - across WhatsApp, web chat, and other messaging channels - convert more leads, automate manual sales work, and operate more efficiently using conversational AI and real-time analytics.</p> <p>Our platform combines an AI-native CRM, conversational sales agents, scheduling automation, and marketing analytics into a single system that directly impacts revenue for our customers. As we pivot and double down on AI-enabled product development, we’re rebuilding our engineering foundation to move faster, ship higher-quality software, and turn ambitious product ideas into production-ready systems.</p> <h2>About the Role</h2> <p>As a Senior Full-Stack AI Engineer, you will play a critical hands-on role in building and evolving Superbench’s AI-powered platform. Working closely with product and leadership, you will design, develop, and ship intelligent, customer-facing features that leverage modern AI capabilities.</p> <p>This role is ideal for someone who is deeply experienced in applying AI in production environments, especially in building multi-step, multi-agent workflows, and who is equally comfortable working across the full stack. You will help turn ambiguous product ideas into reliable, scalable systems, with a strong focus on delivering real user value through AI.</p> <p>You’ll contribute across backend, frontend, and AI systems - owning features end-to-end while collaborating with other engineers to maintain high standards in code quality, performance, and usability.</p> <ul><li>Design and build AI-powered product features, including conversational interfaces, RAG pipelines, and multi-step / multi-agent workflows</li><li>Own the implementation of backend and frontend systems across the Superbench platform</li><li>Translate product requirements into scalable technical solutions, particularly for AI-driven use cases</li><li>Work hands-on across the stack: Node.js/TypeScript and Python backend services, React frontend applications</li><li>Integrate LLMs and AI tooling into production systems, ensuring reliability, performance, and strong user experience</li><li>Build and maintain APIs, services, and data pipelines that support AI functionality</li><li>Collaborate closely with product and design to iterate quickly on AI-driven features</li><li>Contribute to engineering best practices around testing, code quality, and system reliability</li><li>Participate in code reviews and support knowledge sharing across the team</li></ul> <h1>-----</h1> <h1>Requirements</h1> <p>We are looking for a Lead Engineer who is excited to face challenges head-on, take ownership of the tech stack, and make key technical decisions to drive Superbench forward.</p> <h2>Note:</h2> <p>While this role is remote, it is only open to candidates that are within ±3 hours of Singapore time zone (SGT), as this is where our offices are headquartered and all stakeholders are located.</p> <h2>Must have:</h2> <ul><li>6+ years of professional software engineering experience, with a strong focus on building production systems</li><li>4+ years of backend engineering experience, primarily using Node.js frameworks (e.g. Express, NestJS) and modern TypeScript</li><li>2+ years of frontend engineering experience building user-facing applications with React</li><li>2+ years of practical experience building and integrating AI systems into production applications</li><li>Deep understanding of JavaScript and TypeScript</li><li>Strong experience designing and building scalable backend systems, APIs, and services</li><li>Solid experience with relational databases (e.g. PostgreSQL, MySQL), including schema design and query optimization</li><li>Hands-on experience with NoSQL databases (e.g. MongoDB)</li><li>Hands-on Python experience (2+ years), particularly for AI workflows, data processing, or backend services</li><li>Strong experience building AI-powered customer-facing features, including:<ul><li>Retrieval-Augmented Generation (RAG) pipelines</li><li>Multi-step and/or multi-agent AI workflows</li><li>Prompt design, evaluation, and iteration</li><li>Tool-using agents and orchestration frameworks</li></ul></li><li>Experience working with AI frameworks and tools such as OpenAI SDK, LangGraph, MCP, or similar</li><li>Hands-on experience with vector databases (e.g. Pinecone or equivalents)</li><li>Proven experience integrating complex AI flows into real user-facing products</li><li>Strong problem-solving skills and ability to work in ambiguous environments</li><li>Strong communication skills, with the ability to explain technical concepts clearly</li><li>Strong spoken and written English</li></ul> <ul></ul> <h2>Nice to have:</h2> <ul><li>Experience working in early-stage startups or fast-paced product environments</li><li>Familiarity with cloud platforms (e.g. GCP), CI/CD pipelines, and basic DevOps practices</li><li>Experience with event-driven architectures, background jobs, or message queues</li><li>Experience building real-time or conversational systems (e.g. chat, messaging, workflow automation)</li><li>Exposure to analytics, data pipelines, or reporting systems</li><li>Experience working with multi-tenant SaaS platforms</li><li>Familiarity with security best practices, authentication/authorization, and data privacy considerations</li><li>Experience collaborating in remote or distributed teams</li></ul> <ul></ul> <h1>-----</h1> <h1>About the interview process:</h1> <h3>1. Basic-fit and screening interview (20-30 minutes)</h3> <p>A conversation with our CEO to get to know you better and understand your background.</p> <ul><li>Review your experience and technical depth at a high level</li><li>Discuss your interest in Superbench and early-stage roles</li><li>Assess alignment with our team, culture, and expectations</li></ul> <h3>2. Take-home assessment (3-4 hours)</h3> <p>A practical, real-world project designed to evaluate how you think and build across both backend and frontend, as well as integrating AI into customer-facing applications.</p> <ul><li>Focus on architecture, code quality, effective use of AI, and decision-making</li><li>Reflects the types of problems you’d work on at Superbench</li><li>We value clarity and trade-offs, not perfection</li></ul> <h3>3. Technical interview (90 minutes)</h3> <p>A live technical session with our CTO to walk through your take-home submission.</p> <ul><li>Deep dive into your implementation and architectural choices</li><li>Discussion of backend, frontend, and AI-related decisions</li><li>Explore improvements, alternatives, and trade-offs</li><li>Live problem-solving or extension of your solution</li></ul> <h3>4. Deep dive interview (45-60 minutes)</h3> <p>A final conversation with our CPO focused on leadership, ownership, and long-term fit.</p> <ul><li>Review past roles, decisions, and lessons learned</li><li>Discuss how you lead, mentor, and make technical calls under uncertainty</li><li>Align on expectations and what success looks like in this role</li></ul> <h1>-----</h1> <h1>Benefits</h1> <h3>Flexibility & Work Style</h3> <ul><li>Fully remote role with a distributed team</li><li>Flexible working hours - we care about outcomes, not clock-watching</li><li>Autonomy to structure your day, with clear communication and accountability</li></ul> <h3>Ownership & Impact</h3> <ul><li>A true leadership role in an early-stage startup</li><li>Ownership over core technical decisions during a critical company pivot</li><li>Direct influence on product direction, architecture, and long-term technical strategy</li></ul> <h3>Compensation & Equipment</h3> <ul><li>Competitive compensation, commensurate with experience and seniority</li><li>MacBook Pro provided</li></ul> <h3>Time Off</h3> <ul><li>Unlimited PTO (after a 3-month probationary period)</li></ul> <h3>Growth & Learning</h3> <ul><li>Grow into a long-term technical leader as the company scales</li><li>Deepen your expertise in AI-first product development, including conversational AI, RAG, and agentic systems</li><li>Work closely with founders and leadership</li><li>Freedom to experiment, learn, and introduce better tools, processes, and practices</li></ul>