Software Engineer - Scalable Systems (2 contract years)

ST ENGINEERING IHQ PTE. LTD.; Singapore; Hybrid; SGD 90,000 - 120,000; Full time

Job summary

A technology firm in Singapore is seeking a senior software engineer to design backend services and manage CI/CD pipelines. The ideal candidate has over 6 years of experience, strong Python skills, and expertise in AI/ML environments. This role offers a hybrid work setup and the opportunity to work with a dynamic, agile team focused on innovating AI solutions.

Benefits

Autonomy and real ownership

Low-bureaucracy environment

Direct collaboration with AI researchers

Qualifications

• 6+ years of software engineering, including 2+ in AI/ML environments.
• Proficient in Python and production-grade API development.
• Experience with CI/CD and infrastructure-as-code.

Responsibilities

• Design backend services to support agent workflows.
• Own CI/CD pipelines and production deployments.
• Establish quality practices including testing and monitoring.

Skills

Software engineering

Python

API development

CI/CD

Containerization

Machine Learning

Cloud platforms

Tools

GitHub Actions

Terraform

Docker

Kubernetes

Job description

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.