Software Engineer

7 days ago

Singapore ST Engineering Full time

Description Software Engineer - Scalable Systems (2 contract years) ST Engineering Seletar, North East Community Development Council, Singapore Get AI-powered advice on this job and more exclusive features. 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 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). Establish quality practices including testing (Pytest), monitoring, and observability (Prometheus/Grafana). Ensure fault‑tolerant, modular, and scalable system design. 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. #J-18808-Ljbffr Industry Other Category IT & Technology Sub Category Software Architecture & Engineering

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