Updated 17h ago

Full Stack Engineer (AI Systems) at Avomind · globalremotely

About the Company

Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.

The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.

Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.

About the Role

Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric.

Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications.

Key Responsibilities

Build end-to-end product features across frontend, backend, and AI integrations.
Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps.
Integrate LLMs, memory systems, and external tools into scalable, production-grade applications.
Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance.
Improve system reliability, observability, and fallback mechanisms for AI-powered features.
Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production.
Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage.

Requirements

Strong experience in full stack software engineering across frontend and backend development.
Solid understanding of system design, scalable architecture, and API development.
Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies.
Ability to work effectively in fast-paced environments with evolving requirements.
Strong ownership mindset with experience delivering features from ideation through production deployment.
Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations.