Senior Full Stack Software Engineer

Knoveleng; Singapore; On-site; SGD 67,000 - 80,000; Full time

Job summary

Knovleng is seeking an engineer to build practical AI-powered systems at scale in Singapore. You will implement agentic AI workflows, design robust APIs, and containerize services for production use.

The role blends software engineering with applied AI, demanding high performance, observability, and reliable deployments. You will collaborate across product, research and engineering teams to move ideas from prototype to live systems, owning reliability and performance while shipping iteratively

Qualifications

• 3–6+ years building full stack apps, APIs, and production systems.
• Experience with Golang or ability to ramp quickly.
• Familiar with Docker and at least knowledge of Kubernetes.
• Experience with cloud and on-prem infrastructure.

Responsibilities

• Design and implement AI workflows with multi-step tasks and tool-using agents.
• Build AI Ops pipelines for LLM-powered systems including deployment and observability.
• Integrate AI models, APIs, data sources and internal tools into production systems.
• Architect scalable services with data flow, caching, queues, retries and fault tolerance.
• Design clean DB schemas and write efficient queries.
• Define documented API contracts for internal/external users.
• Containerize and deploy services using Docker and Kubernetes.
• Collaborate with product, research and engineering to productionize AI features.

Skills

Golang

API design

Docker

Kubernetes

Cloud computing

Observability

AI/ML integration

Distributed systems

Code reviews

Problem solving

Education

Diploma/ Degree in Information Systems or CS

Tools

Terraform

Ansible

Job description

This role is ideal for someone who enjoys building practical products, moving quickly, and working at the intersection of software engineering and applied AI. You will help turn AI ideas into real systems that are scalable, observable, and reliable enough for production use.

The role offers a competitive monthly base salary ranging from SGD 6,000 to 7,200 complemented by annual performance-based bonuses that reward excellence and results.

Responsibilities

• Design and implement agentic AI workflows, including multi-step tasks, tool-using agents, memory, and multi-agent orchestration.
• Build and maintain AI Ops pipelines for LLM-powered systems, including deployment, monitoring, evaluation, prompt and version management, cost tracking, and observability.
• Integrate LLMs, AI models, APIs, data sources, and internal tools into production systems.
• Architect scalable systems covering service boundaries, data flow, caching, queues, retries, failure handling, and performance.
• Design clean database schemas and write efficient, reliable queries.
• Define and implement well-documented API contracts for internal and external users.
• Containerize and deploy services using Docker and Kubernetes.
• Work closely with product, research, and engineering teams to bring AI features from prototype to production.
• Own the reliability, scalability, and performance of the systems you build, including monitoring, alerting, debugging, and incident response.
• Participate in code reviews, architecture discussions, technical planning, and product discovery.
• Move fast, ship thoughtfully, and continuously improve engineering quality.
• Collaborate with relevant stakeholders throughout the Software Development Life Cycle (SDLC).
• Contribute to technical documentation, runbooks and knowledge sharing to support long-term maintainability.

Requirements

• Diploma/Degree or post graduate degree in Information System, Computer Science or Computer Engineering or equivalent.
• At least 3 – 6 years of experience building full stack applications, backend services, APIs, and production software systems.
• Working knowledge of Golang, or willingness to ramp up quickly.
• Experience with infrastructure-as-code tools such as Terraform and good-to-have experience with ansible.
• Experience with cloud and on-premise infrastructure.
• Experience with Docker and good-to-have experience with Kubernetes.
• Hands-on experience building or operating AI-powered systems, agentic workflows, or LLM-based applications.
• Familiarity with agent orchestration concepts such as multi-step reasoning flows, tool use, memory, multiple LLM calls, and multi-agent workflows.
• Practical understanding of AI Ops or MLOps concepts, including model or prompt versioning, evaluation pipelines, monitoring, observability, and production support.
• Solid understanding of system design principles, including scalability, reliability, caching, load balancing, and distributed systems trade-offs.
• Experience designing and consuming APIs such as REST, gRPC, or GraphQL, including authentication, versioning, and documentation.
• Experience with databases, schema design, query optimization, and data flow design.
• Strong debugging, problem-solving, communication, and ownership mindset.
• Comfortable working in a fast-moving startup environment with evolving priorities.

What sets you apart

• Experience with LLM providers and APIs such as OpenAI, Anthropic, Azure OpenAI, or open-source models.
• Experience with prompt engineering, RAG, embeddings, vector databases, or AI agent frameworks.
• Understanding of security concepts for both traditional software systems and AI systems.
• Experience with observability tools, logging, tracing, metrics, and alerting.
• Prior experience in a startup, fast-paced product team, or applied AI environment.

Why you should apply

• Competitive remuneration and benefits.
• Flat hierarchy with minimal bureaucracy.
• Learning opportunities through courses, seminars, and conferences.
• Be at the forefront of innovation and gain access to cutting-edge technologies.
• Contribute to enhancing Singapore’s position as a thriving innovation hub.