Full Stack Software Engineer

About Knovel Engineering

Knovel Engineering is dedicated to creating pioneering AI and technology solutions aimed at shaping the future. Leveraging cutting-edge cloud computing, they deliver AI, data, and analytics solutions designed to foster innovation and accelerate business transformation. Collaborating closely with clients, Knovel applies a structured technology transformation approach tailored to the specific challenges of each partner. Their philosophy merges technology with creativity to develop custom solutions for customers.

Role Overview

They seek a Full Stack Software Engineer skilled at building dependable, scalable software systems incorporating modern AI functionalities. This role involves working with Python, JavaScript, and Golang to create backend services, client-facing applications, APIs, databases, and AI-based workflows. Ideal candidates enjoy progressing quickly to develop practical products that operate reliably in production, integrating AI ideas into tangible, scalable systems.

Primary Responsibilities

• Develop and maintain full stack applications using Python, JavaScript, Next.js, and Golang.
• Create and implement agentic AI workflows featuring multi-step processes, tool usage, memory capabilities, and coordination among multiple agents.
• Build and oversee AI operations pipelines supporting large language models, including deployment, monitoring, evaluation, prompt/version management, cost tracking, and system observability.
• Integrate AI models, APIs, large language models, data sources, and internal tools into live production environments.
• Design system architectures emphasizing scalability, service boundaries, efficient data flow, caching mechanisms, queues, retry policies, failure handling, and overall performance.
• Construct clean database schemas and write optimized, dependable queries.
• Define and implement well-documented APIs for both internal and external stakeholders.
• Containerize and deploy services using Docker and Kubernetes platforms.
• Collaborate closely with product, research, and engineering teams to transition AI features from prototypes to production-ready implementations.
• Ensure system reliability, scalability, and performance through monitoring, alerting, debugging, and resolving incidents.
• Participate actively in code reviews, architecture discussions, technical planning, and product discovery processes.
• Maintain a fast development pace while shipping completed work thoughtfully and continually enhancing engineering quality.
• Engage with relevant parties throughout the software development life cycle (SDLC).
• Contribute to technical documentation, runbooks, and knowledge sharing practices to support sustainable long-term maintenance.

Candidate Requirements

• Between 3 to 6 years of experience creating full stack applications, backend services, APIs, and production-ready software systems.
• Proficient in Python and JavaScript/TypeScript programming languages.
• Experience with Golang or readiness to quickly learn it.
• Familiarity with infrastructure as code tools, particularly Terraform; knowledge of Ansible is advantageous.
• Experience working with both cloud and on-premises infrastructure.
• Hands-on experience with Docker; Kubernetes expertise is a plus.
• Direct involvement in building or operating AI-enabled software systems, including agentic workflows or applications powered by large language models.
• Understanding of agent orchestration concepts like multi-step reasoning, effective tool use, memory, multiple calls to language models, and multi-agent coordination.
• Practical awareness of AI operations (AI Ops) or machine learning operations (MLOps), including model/prompt versioning, evaluation pipelines, monitoring, observability, and production environment support.
• Strong grasp of system design concepts encompassing scalability, reliability, caching, load balancing, and distributed system trade-offs.
• Experience designing and consuming APIs (REST, gRPC, GraphQL), addressing authentication, version control, and documentation.
• Database expertise covering schema design, query performance optimization, and data flow structuring.
• Excellent debugging, problem-solving, communication skills, and accountability.
• Ability to thrive in a dynamic startup setting with shifting priorities.

Preferred Qualifications

• Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI, or open-source alternatives.
• Knowledge of prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases, or AI agent frameworks.
• Understanding of security principles for both conventional software and AI-related systems.
• Familiarity with observability tooling including logs, tracing, metrics, and alerting systems.
• Previous work experience in startups, fast-paced product environments, or applied AI teams.

Why Join Knovel Engineering?

• Opportunity to develop tangible products merging software engineering with applied AI technologies.
• Work on agentic AI systems, workflows powered by large language models, and production-grade AI infrastructure.
• Function within a flat organization with minimal bureaucracy supporting quick progress.
• Collaborate closely with multidisciplinary teams from ideation through production deployment.
• Access continuous learning resources including courses, seminars, conferences, and hands-on experimentation.
• Engage with advanced AI platforms, tools, and technologies.
• Contribute ideas toward new products and meaningful innovation.
• Support enhancing Singapore's standing as a vibrant innovation center.
• Receive competitive salary packages and benefits.