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.
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.
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.
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.
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.
- Design and build AI-powered product features, including conversational interfaces, RAG pipelines, and multi-step / multi-agent workflows
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Own the implementation of backend and frontend systems across the Superbench platform
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Translate product requirements into scalable technical solutions, particularly for AI-driven use cases
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Work hands-on across the stack: Node.js/TypeScript and Python backend services, React frontend applications
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Integrate LLMs and AI tooling into production systems, ensuring reliability, performance, and strong user experience
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Build and maintain APIs, services, and data pipelines that support AI functionality
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Collaborate closely with product and design to iterate quickly on AI-driven features
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Contribute to engineering best practices around testing, code quality, and system reliability
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Participate in code reviews and support knowledge sharing across the team
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.
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.
- 6+ years of professional software engineering experience, with a strong focus on building production systems
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4+ years of backend engineering experience, primarily using Node.js frameworks (e.g. Express, NestJS) and modern TypeScript
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2+ years of frontend engineering experience building user-facing applications with React
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2+ years of practical experience building and integrating AI systems into production applications
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Deep understanding of JavaScript and TypeScript
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Strong experience designing and building scalable backend systems, APIs, and services
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Solid experience with relational databases (e.g. PostgreSQL, MySQL), including schema design and query optimization
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Hands-on experience with NoSQL databases (e.g. MongoDB)
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Hands-on Python experience (2+ years), particularly for AI workflows, data processing, or backend services
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Strong experience building AI-powered customer-facing features, including:
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Retrieval-Augmented Generation (RAG) pipelines
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Multi-step and/or multi-agent AI workflows
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Prompt design, evaluation, and iteration
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Tool-using agents and orchestration frameworks
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Experience working with AI frameworks and tools such as OpenAI SDK, LangGraph, MCP, or similar
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Hands-on experience with vector databases (e.g. Pinecone or equivalents)
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Proven experience integrating complex AI flows into real user-facing products
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Strong problem-solving skills and ability to work in ambiguous environments
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Strong communication skills, with the ability to explain technical concepts clearly
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Strong spoken and written English
- Experience working in early-stage startups or fast-paced product environments
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Familiarity with cloud platforms (e.g. GCP), CI/CD pipelines, and basic DevOps practices
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Experience with event-driven architectures, background jobs, or message queues
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Experience building real-time or conversational systems (e.g. chat, messaging, workflow automation)
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Exposure to analytics, data pipelines, or reporting systems
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Experience working with multi-tenant SaaS platforms
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Familiarity with security best practices, authentication/authorization, and data privacy considerations
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Experience collaborating in remote or distributed teams
A conversation with our CEO to get to know you better and understand your background.
- Review your experience and technical depth at a high level
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Discuss your interest in Superbench and early-stage roles
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Assess alignment with our team, culture, and expectations
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.
- Focus on architecture, code quality, effective use of AI, and decision-making
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Reflects the types of problems you'd work on at Superbench
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We value clarity and trade-offs, not perfection
A live technical session with our CTO to walk through your take-home submission.
- Deep dive into your implementation and architectural choices
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Discussion of backend, frontend, and AI-related decisions
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Explore improvements, alternatives, and trade-offs
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Live problem-solving or extension of your solution
A final conversation with our CPO focused on leadership, ownership, and long-term fit.
- Review past roles, decisions, and lessons learned
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Discuss how you lead, mentor, and make technical calls under uncertainty
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Align on expectations and what success looks like in this role
- Fully remote role with a distributed team
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Flexible working hours - we care about outcomes, not clock-watching
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Autonomy to structure your day, with clear communication and accountability
- A true leadership role in an early-stage startup
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Ownership over core technical decisions during a critical company pivot
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Direct influence on product direction, architecture, and long-term technical strategy
- Competitive compensation, commensurate with experience and seniority
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MacBook Pro provided
- Unlimited PTO (after a 3-month probationary period)
- Grow into a long-term technical leader as the company scales
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Deepen your expertise in AI-first product development, including conversational AI, RAG, and agentic systems
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Work closely with founders and leadership
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Freedom to experiment, learn, and introduce better tools, processes, and practices
