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Open nowPosted yesterday

Software Engineer Lead (Full Stack)

MyCareersFuture96,520 open roles

Pay
SGD 7,000 – SGD 14,000 a month
Where
Central, Singapore
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Your applicationOpen nowSoftware Engineer Lead (Full Stack)MyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted yesterday

MyCareersFuture median: 4 days open

The posting

About Alpha-Z

At Alpha-Z, we build AI for decision-making. We solve complex decisions from messy goals, constraints, and evidence—translating them into answers that are derivable, consistent, and verifiable. Our system bridges LLMs for problem formulation with algorithmic solvers, creating a decision layer where assumptions can be reviewed, not hidden in a black box. What works gets stored as a structured insight, so the next decision starts smarter.

We are looking for a hands-on Software Engineer to help build the core product from the ground up.

What you'll do

  • Build and own product engineering end-to-end, hands-on — from architecture and backend development to frontend and infrastructure.
  • Build the APIs and backend services that connect our LLM problem-formulation layer, algorithmic solvers, and knowledge library.
  • Take features from 0→1 — from understanding the problem and designing the architecture to building, deploying and iterating in production.
  • Work with AI Research Scientists to turn research outputs and prototypes into reliable, production-ready product features.
  • Explore and integrate LLMs and AI/agentic workflows where they add value to the product.
  • Design systems for asynchronous, long-running and compute-intensive workloads.
  • Make pragmatic technology and build-vs-buy decisions as the product evolves.
  • Own cloud infrastructure, deployments, monitoring and reliability, while ensuring enterprise data remains secure.
  • Establish engineering standards across testing, code review, CI/CD, and development practices that future hires can build upon.
  • Build practical frontend components where needed to help users interact with and understand the platform's outputs.
  • Work closely with the founders and research team to shape and build the product as we scale.

What we look for

  • Bachelor's or Master's in Computer Science, Software Engineering, or a related field.
  • 3–7 years of software engineering experience, or equivalent hands-on experience.
  • Strong backend engineering skills and experience building production systems.
  • Experience taking a product from early stage to production, ideally as an early or sole engineer.
  • Demonstrated experience taking a product, feature or system from 0→1.
  • Strong technical judgment and ability to make architecture and implementation decisions independently.
  • Comfortable working independently in an early-stage environment with ambiguity and changing requirements.
  • Experience building and deploying APIs and backend services.
  • Ability to work closely with researchers or technical teams and translate complex technical work into usable product features.
  • Strong communication skills and ability to explain technical trade-offs clearly.
  • A builder mindset — pragmatic, hands-on and willing to work across different parts of the stack.

Technical expertise

Backend & LLM Integration

  • Strong experience with Python, Node.js, Go or similar backend technologies.
  • Strong RESTful API design and backend development experience.
  • Experience with databases, asynchronous task queues and long-running or compute-intensive workloads.
  • Own cloud platforms such as AWS, GCP or Azure.
  • Experience with CI/CD, containerisation, logging and monitoring.
  • Experience integrating APIs, third-party services or complex technical systems.

AI / LLM

  • Experience with LLMs, AI applications or agentic systems is a strong plus.
  • Experience integrating LLM APIs such as OpenAI, Anthropic, Gemini or open-source models is advantageous.
  • Experience with AI agents, LLM orchestration or AI workflows is advantageous.
  • Experience turning AI/ML research or prototypes into production systems is a plus.

Frontend Engineering

  • Practical experience with a modern frontend framework such as React, Vue or Svelte.
  • Able to build or modify frontend components that connect to backend APIs and present dense, structured insights and model reasoning clearly.
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