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Software Engineer - Scalable Systems (2 contract years) - ST ENGINEERING IHQ PTE. LTD.

ST ENGINEERING IHQ PTE. LTD.D20 Bishan, Ang Mo Kio, SG

11 days ago

Job description

Roles & Responsibilities

We’re looking for a senior Software Engineer to help us build the next-generation agentic AI platform for computer vision. You’ll own core components of the platform that orchestrate AI agents, power automated ML workflows, and deliver robust, production-grade systems.

This role blends backend excellence , infrastructure ownership , and a collaborative engineering mindset to scale the capabilities of AI Engineers and AI Developers. You’ll work closely with AI colleagues to bring intelligent systems to life - helping them move from local experimentation to full production.

This is a hands-on, high-impact role for someone who thrives at the intersection of scalable systems and cutting-edge AI.

Key Responsibilities

Platform & Backend Development

Design backend services (Python, FastAPI, gRPC) to support agent workflows, computer vision pipelines, and evaluation loops.
Build scalable APIs for orchestration, task management, vector search, and model serving.

Infrastructure & Deployment

Own CI / CD pipelines (GitHub Actions, Terraform) and production deployments.

Develop infrastructure for memory stores, compute orchestration, and model packaging (Docker, TorchServe, BentoML).

Engineering Excellence

Establish quality practices including testing (Pytest), monitoring, and observability (Prometheus / Grafana).

Ensure fault-tolerant, modular, and scalable system design.

Collaboration & Leadership

Mentor peers through code reviews, documentation, and clean architecture.

Lead system design discussions and integration with AI and platform teams.

Must-Have Skills

6+ years of software engineering, including 2+ in AI / ML environments.

Proficient in Python and production-grade API development (FastAPI, Flask, gRPC).

Experience with CI / CD and infrastructure-as-code (GitHub Actions, Terraform).

Skilled in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).

Familiarity with databases : SQL, NoSQL, and vector DBs (FAISS, Weaviate, pgvector).

Understanding of ML lifecycles : data ingestion, inference, monitoring, and recovery.

Proven ability to design distributed systems (API gateways, data pipelines, compute orchestration).

Bonus Skills

Familiarity with AI agent frameworks (LangChain, AutoGen, CrewAI).

Understanding of computer vision concepts and deployment challenges.

Exposure to LLM APIs or GenAI integrations.

Experience with ML observability and error logging systems

Knowledge of front-end prototyping tools (Gradio, Streamlit, etc.).

What We Offer

Small, agile team (5–6 engineers + interns) with autonomy and real ownership.

Startup feel with a big company resources : International environment where the majority of the team and leadership is from startups or big international corporations (Lazada, Gojek, IBM) and from various countries.

Low-bureaucracy, high-impact startup environment where your code directly supports next-gen AI deployment.

Experimentation and self-development are in our culture

Knowledge sharing and collaboration

Direct collaboration with top AI researchers and computer vision scientists.

Hybrid work setup : ~2–3 days in office per week.

Tell employers what skills you have

API Development

Leadership

Kubernetes

Autonomy

Experimentation

Computer Vision

Task Management

Logging

Flask

System Design

Distributed Systems

Containerization

GCP

Orchestration

FastAPI

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System Engineer • D20 Bishan, Ang Mo Kio, SG