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Avomind

Full Stack Engineer (AI Systems)

  • Seen live on Avomind's site today
  • Mid level
  • Remote
Pay
Not stated
Location
Singapore
Open for
13+ days
First seen
Oct 22, 2026
Apply on Avomind's site (opens in a new tab)

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Avomind's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Avomind, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

Preferred Technical Skills

Experience with some or all of the following technologies is preferred

  • Next.js
  • Python
  • Node.js
  • PyTorch
  • OpenAI, Anthropic, or open-source Large Language Models (LLMs)
  • SQL and NoSQL databases
  • Kubernetes
  • Docker

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