Full Stack Software Engineer

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

Job summary

Knovel Engineering is hiring a Software Developer (Full Stack) in Singapore. You will design and implement agentic AI workflows, build AI Ops pipelines, and integrate LLMs, APIs, and data sources into scalable production systems. You’ll collaborate with product, research, and engineering to ship reliable, observable AI-enabled services.

The role emphasizes ownership, fast-moving startup energy, and contributing to end-to-end SDLC while ensuring performance and reliability of AI-driven solutions.

Qualifications

• 3–6 years of experience building full stack apps, backend services, and APIs.
• Proficiency with Golang; willingness to ramp up.
• Experience with Terraform and Ansible is a plus.
• Experience with Docker and Kubernetes.
• Hands-on with AI-powered systems or LLM-based apps an advantage.

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.
• Integrate AI models, APIs, and data sources into production systems.
• Architect scalable services including caching, queues and failure handling.
• Define and document API contracts for internal/external users.

Skills

Full stack development

Backend services

APIs design

Debugging

Ownership mindset

Communication

Tools

Golang

Terraform

Ansible

Docker

Kubernetes

REST

GraphQL

gRPC

SQL/Databases

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 Developer (Full Stack)

Reports To: Lead/Principal Engineer

Employment Type: Full-time, permanent

Role Overview Description:

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:

• 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.

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.