Full Stack Software Engineer

Knovel Engineering; Singapore; On-site; SGD 44,640 - 66,960; Full time

Job summary

Knovel Engineering in Singapore is seeking a Software Engineer (Full Stack) to design and implement agentic AI workflows, integrate LLMs and APIs, and build scalable, observable production systems. You will work with Docker/Kubernetes, cloud and on-prem infra, and collaborate with product and research teams to ship reliable AI features.

The role offers a competitive base salary and annual bonuses, with strong emphasis on experimentation, documentation and fast-moving startup culture.

Qualifications

• Diploma/degree or postgraduate degree in Information Systems, CS or CE or equivalent.
• 1–4 years of experience building full stack applications and APIs.
• Experience with Golang, cloud and on-premise infra.
• Hands-on AI-powered systems and agentic workflows experience.
• Familiarity with multi-step reasoning, tool use, and memory in LLMs.

Responsibilities

• Design and implement agentic AI workflows with multi-step tasks and tool-using agents.
• Build and maintain AI Ops pipelines for LLM-powered systems including deployment and observability.
• Integrate LLMs, APIs, data sources, and internal tools into production systems.
• Architect scalable systems with caching, queues, retries and reliability.
• Define API contracts and ensure secure, well-documented interfaces.

Skills

Golang

Docker

Kubernetes

APIs

LLM

Cloud

Research

Problem-solving

Education

Information Systems / CS / CE degree

Tools

Docker

Kubernetes

Job description

At our core, our passion is to craft novel AI and technology solutions that will shape tomorrow. We deploy cutting-edge technology that builds on cloud computing to proliferate AI, data and analytics solutions tailored to drive innovation and transform businesses.

With our desire to push the boundaries of technology, we partner closely with our clients. Guiding their transformation with agility, we apply a structured technology transformation process attuned to their unique challenges.

At Knovel Engineering, we blend technology with creativity to build unique solutions tailored for our customers.

Job Title: Software Engineer (Full Stack)

Reports To: Director of Engineering

Employment Type: Full-time, permanent

Role Overview Description:

The role offers a competitive monthly base salary ranging from SGD 4,000 to 6,000 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 1 – 4 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 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.

Preferred skills and experiences:

• 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:

• Build real products that combine software engineering and applied AI.
• Work on agentic AI systems, LLM-powered workflows, and production-grade AI infrastructure.
• Move fast in a flat, low-bureaucracy environment.
• Work closely with product, research, and engineering teams from idea to production.
• Learn through courses, seminars, conferences, and hands-on experimentation.
• Gain access to cutting-edge AI tools, platforms, and technologies.
• Contribute to new product ideas and practical innovation.
• Play a role in strengthening Singapore’s position as a thriving innovation hub.