Senior Full Stack Engineer (Immediate Joiner)

Neuron Solutions Sdn. Bhd.; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Neuron Solutions Sdn. Bhd. in Malaysia is seeking a Senior Full Stack Engineer who thrives in an AI-first engineering environment.

You will deliver solutions end-to-end, from data and backend services to user-facing applications, with hands-on leadership and strong software engineering practices. You will build harness scaffolding, rules files and the skills library to enable AI across workflows, own outputs of agentic processes, and ensure code quality, security, observability, and test

Qualifications

• 5+ years of senior full-stack engineering experience.
• Hands-on delivery across data, backend services and user interfaces.
• Experience with CI/CD SLDC.
• Familiarity with AI-first workflows.
• Security, observability, and test automation focus.

Responsibilities

• Deliver end-to-end services from data to UI.
• Build harness scaffolding and rules for AI-enabled workflows.
• Own outputs of agentic workflows and ensure traceability.
• Identify blockers and scope risks early and raise them.
• Collaborate with Architect to address debt and feed back learnings.
• Stay updated on industry trends and share learnings.

Skills

Full-stack

CI/CD

Infra as code

Security & observability

AI-first delivery

UI/UX awareness

Code reviews

Job description

Senior Full Stack Engineer (Immediate Joiner)

This is a senior (5+ years), hands-on engineering role focused on delivering solutions end-to-end, from data and backend services through to user-facing applications. The successful candidate will work within a modern AI-first engineering environment, leveraging agentic workflows, AI tooling, and software engineering best practices to deliver high-quality solutions at speed.

Key Responsibilities

The successful candidate will:

Deliver services end to end - data through to interface.

Build harness scaffolding, rules files and the skills library to enable the use of AI throughout our workflows

Own the output of agentic workflows, whoever or whatever wrote it, so that the team ships work it understands and can stand behind

Keep progress legible and raise blockers and scope risk the day they appear

Pay down debt and clear logged exceptions with the Architect at cooldown, and feed build reality into the harness backlog, so that every delivery cycle startsfrom a higher floor than the last

Take on harder work and a growing share of review cycle on cycle, so that capability deepens and delivery does not bottleneck on the leads

Proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library.

We are seeking candidates with:

Strong, current full-stack engineering capability with hands-on delivery in an CI/CD SLDC

Consideration for UI/UX best practices and emerging design trends

The ability to take a slice from data through to interface, including its tests and evals, without waiting for it to be specified in detail

Comfortable building within CI/CD pipelines and infrastructure-as-code, to the secure, observable and tested defaults the pipeline enforces

Sound grounding in security, observability and test and evaluation automation, enough to leave a deliverable operable by a team that did not build it

Practical experience of AI-first, agentic delivery - working from rules files, known-good templates and a curated skills library, and writing evals for AI-generated output

Sound judgement on where agents help and where human design must come first, with the discipline to pace throughput to comprehension

Habit of honest, early signalling on progress, blockers and scope, and of contributing improvements back into shared tooling and standards

A working knowledge across multiple AI tools and models, with the judgement to select the appropriate tool/model based on the development task, complexity, security requirements and expected outcome

A strong prompt and context engineering skills, including creating effective instructions, rules and contextual information appropriate to the goal