Senior Backend & LLM Orchestration Lead

Superobservation Pte. Ltd; Singapore; Remote; SGD 116,000 - 162,000; Full time

Job summary

A tech-driven 3D solutions company is seeking a Senior Backend & LLM Orchestration Lead in Singapore. This role focuses on enhancing Python/FastAPI services and optimizing streaming-first LLM pipelines. Candidates should have over 5 years of backend API experience, strong knowledge of GCP and security fundamentals, and a collaborative mindset. The position offers a competitive salary between USD $90k–$125k, equity options, and a remote-first work setup across APAC.

Qualifications

• 5+ years building backend APIs/services in Python (FastAPI/Flask).
• Experience with ML/LLM integrations; LangGraph/LangChain is a plus.
• Proficiency in PostgreSQL and Redis for high traffic scenarios.

Responsibilities

• Design and maintain Python/FastAPI services for LLM workflows.
• Optimize async pipelines for latency and throughput.
• Secure every API and websocket with an auth-first design.

Skills

Backend API development

Python (FastAPI/Flask)

Multi-tenant architecture

OAuth2/JWT security

Debugging distributed systems

Tools

GCP

Postgres

Redis

Docker

Job description

Spatial Support is hiring a Senior Backend & LLM Orchestration Lead to own the AI backend behind our 3D product experiences. You’ll level up our Python/FastAPI services and streaming-first LLM pipelines (LangChain/LangGraph or custom) to deliver sub-second, scene-aware answers. You’ll design secure, multi-tenant APIs and websockets, build on GCP (Cloud Run/Functions, Pub/Sub), and drive observability, CI/CD, and IaC. Expect async and GPU-heavy workloads, PostgreSQL + Redis, and tight collaboration with 3D/ML to expose object recognition and spatial reasoning via clean APIs. You bring 5+ years in production backends, strong auth/security chops, and a knack for debugging distributed systems. Bonus: RAG/agents, 3D/CAD exposure, Terraform/GitHub Actions. Remote-first, APAC-friendly. Help set the standard for instant, reliable, context-rich AI.

About Spatial Support

We’re building the AI backend that makes complex 3D products feel simple. Our platform fuses LLMs with scene-aware 3D context so customers can ask questions and get instant, accurate answers—like chatting with a product expert who “sees” the CAD.

The Role

As our Senior Backend & LLM Orchestration Lead, you’ll own the backend that powers this experience. Your first 90 days: assess and harden a Python/FastAPI orchestration pipeline (LangGraph/LangChain), push streaming-first responses toward sub‑second latency, and enforce an auth‑first, multi‑tenant architecture on GCP. Your work is the foundation for our 2026 roadmap—near real‑time, context‑rich support for complex products.

What you’ll do

• Design, ship, and maintain Python/FastAPI services that orchestrate multi‑step LLM workflows and retrieve scene/3D context.

• Optimize latency & throughput: async pipelines, streaming tokens, efficient GPU/compute usage.

• Enforce auth‑first design: integrate with our Clerk + GCP Cloud Functions auth layer; secure every API and websocket.

• Own GCP operations: Cloud Run/Functions, Pub/Sub, Postgres, Redis; CI/CD; choose managed vs custom pragmatically.

• Establish observability: structured logging, tracing, SLOs/alerts; build latency/error/throughput dashboards.

• Partner with 3D/ML engineers to productize new models (object recognition, scene‑aware logic) behind stable APIs.

What you’ll bring (Required)

• 5+ years building backend APIs/services in Python (FastAPI/Flask), with clean REST/streaming designs.

• Real experience integrating ML/LLM or data‑heavy backends; LangGraph/LangChain (or custom orchestration) is a plus.

• Security fundamentals: OAuth2/JWT, token handling, RBAC/ABAC, multi‑tenant safety.

• Cloud production chops (preferably GCP): Docker, CI/CD, IaC familiarity.

• Postgres + Redis mastery: modeling, query tuning, caching strategies for high traffic.

• Debugging distributed systems with logs/traces/profilers in async environments.

Nice to have

• Production LLM agent workflows (RAG, tool‑use, decision trees).

• 3D/graphics or spatial data exposure (CAD/BIM, gaming engines, AR/VR).

• DevOps automation (Terraform, GitHub Actions), Prometheus/Grafana/Stackdriver.

• Mentoring/setting standards; OSS contributions in Python/AI orchestration.

Signals of excellence

• Open‑source impact (libs, frameworks, notable PRs).

• Systems with standout reliability/latency (e.g., 10× traffic with minimal p95).

• Public talks/blogs on scalable AI systems.

• Fast but careful shipping record (concept → prod in weeks, iterated with users).

Why this role matters

If the backend lags, the 3D+AI magic breaks. You’ll fortify the pipeline that takes us from ~65% to ~85%+ automation accuracy by mid‑2026, delivering trustworthy, scene‑aware answers that feel instantaneous.

Work setup & benefits

• Remote‑first across APAC; ≥4h daily overlap with GMT+8.

• USD $90k–$125k + equity; flexible hours; high autonomy and ownership.

What to expect (process)

1. Application & screening questions

2. 45‑min chat (role/context)

3. Take‑home (≈5 focused hours): minimal FastAPI service with auth + streaming LLM over provided context

4. Technical deep dive / systems interview

5. Final conversation (values, offer)