Forward Deployed Engineering

TechKnowledgey Pte Ltd; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

TechKnowledgey Pte Ltd in Singapore is seeking a Forward Deployed Engineer - AI to own features end-to-end—from design through deployment and monitoring. The role focuses on production-grade systems and AI-enabled applications.

You will collaborate with senior engineers, technical leads, and delivery teams to ensure reliable, scalable solutions across AWS and modern cloud-native services.

Qualifications

• 3–6 years of professional software engineering experience building production systems.
• Strong programming ability in Python with production-grade experience.
• Experience building and operating backend services, APIs, and databases.

Responsibilities

• Design, build, deploy, and operate production-grade services, APIs, integrations, and backend systems.
• Own technical components through the full development lifecycle—from design to testing, deployment, monitoring, and optimisation.
• Develop backend services primarily using Python, with FastAPI or similar frameworks.
• Contribute to modern web applications and interfaces where required.
• Build and integrate APIs, databases, and distributed services.
• Deploy and manage applications across AWS cloud environments.

Skills

Python

AWS

CI/CD

React

Node.js

Tools

FastAPI

Job description

We are looking for a Forward Deployed Engineer - AI to join our growing engineering team working on complex, production-grade software and AI-enabled systems for enterprise customers.

You will own features and technical components end-to-end — from design and development through testing, deployment, monitoring, and ongoing improvement.

This is a hands‑on engineering role suited to someone who enjoys solving complex technical problems, working in production environments, and taking ownership beyond simply writing code.

You will work closely with senior engineers, technical leads, architects, and delivery teams to build reliable, scalable, and maintainable systems.

What You’ll Do

• Design, build, deploy, and operate production‑grade services, APIs, integrations, and backend systems.
• Own technical components through the full development lifecycle — from design and implementation to testing, deployment, monitoring, and optimisation.
• Develop backend services primarily using Python, with frameworks such as FastAPI or similar technologies.
• Contribute to modern web applications and interfaces where required.
• Build and integrate APIs, databases, and distributed services.
• Deploy and manage applications across AWS cloud environments.
• Work with services such as compute, containers, serverless infrastructure, API management, identity/access management, and cloud monitoring.
• Develop and maintain CI/CD pipelines and automated testing frameworks.
• Implement infrastructure automation, observability, logging, and monitoring.
• Define and execute unit, integration, regression, and other testing strategies.
• Participate in technical design, code reviews, documentation, and engineering discussions.
• Investigate and resolve production issues, with a focus on reliability, scalability, and performance.
• Collaborate with other engineers through technical reviews, knowledge sharing, and pair programming.
• Leverage modern AI‑assisted development tools to improve engineering productivity, testing, debugging, documentation, and delivery.

What We’re Looking For

• 3–6 years of professional software engineering experience building production systems.
• Strong programming ability in at least one modern programming language, with Python highly preferred.
• Experience building and operating backend services, APIs, and databases.
• Hands‑on experience deploying and operating applications in AWS.
• Good understanding of cloud infrastructure and services such as containers, serverless computing,
• API management, IAM, and monitoring.
• Solid understanding of CI/CD, automated testing, observability, and DevSecOps practices.
• Strong debugging and problem‑solving abilities.
• Demonstrated ownership of technical deliverables with limited supervision.
• Familiarity with modern web development technologies such as React or Node.js is advantageous.
• Strong written and verbal communication skills.

Nice to Have

You will stand out if you have:

• Experience shipping software in enterprise, high‑scale, or highly regulated environments.
• Exposure to AI/ML applications, LLMs, RAG, or agentic AI systems.
• Experience building systems that integrate with AI models or AI‑powered workflows.
• A strong interest in using AI‑assisted development tools in your day‑to‑day engineering work.
• Experience developing reusable internal frameworks, tooling, or engineering platforms.
• AWS certifications such as AWS Certified Developer or AWS Certified Solutions Architect.

What Success Looks Like

In this role, success means you can:

• Independently deliver meaningful engineering components from design through production.
• Build services that are reliable, scalable, observable, and maintainable.
• Troubleshoot complex technical and production issues effectively.
• Deliver high‑quality engineering work with minimal rework.
• Contribute positively to technical standards and engineering practices.
• Support and mentor less experienced engineers.
• Progress toward greater technical ownership and senior‑level engineering responsibilities.

The Opportunity

This is an opportunity to work on real‑world, production‑scale technology programmes where engineering quality, reliability, and scalability matter.

You will gain exposure to:

• Enterprise‑grade software engineering
• Cloud‑native architecture
• AI‑enabled applications and systems
• Modern development and deployment practices
• Large‑scale production environments
• Cross‑functional technical delivery
• Emerging AI engineering tools and technologies

The role offers significant scope for engineers who want to move beyond feature development and develop stronger end‑to‑end technical ownership.