AI Solutions Engineer

GrainCorp; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech firm in Singapore is looking for an AI Workflow Engineer to design AI-powered tools that enhance business operations and customer experience. This role requires expertise in modern AI, coding knowledge in JavaScript or Python, and a collaborative mindset. Candidates should be ready to take ownership and rapidly prototype solutions. The position offers competitive compensation and opportunities for growth.

Benefits

Competitive compensation package

Birthday leave

In-house training opportunities

Qualifications

• Solid grasp of modern AI concepts including LLMs and prompt design.
• Comfortable coding, ideally in JavaScript/TypeScript or Python.
• Experience with APIs, automation, and ETL processes.

Responsibilities

• Partner across departments to identify AI workflow opportunities.
• Prototype quickly and iterate based on feedback.
• Build and evolve LLM pipelines for various applications.

Skills

Modern AI knowledge

JavaScript/TypeScript or Python

REST/GraphQL, webhooks

SQL, Postgres, JSON

Testing mindset

Owner mindset

Tools

Docker

Kubernetes

Job description

Mission

Design and ship AI-powered workflows, copilots, and internal tools that drive business growth and elevate Grain’s customer experience - through tight collaboration, disciplined execution, and rapid iteration.

Outcomes

• Deliver 5+ “quick wins” in your first 90 days that save 20+ hours/week across non-tech teams.
• Launch at least one production-grade agent/workflow with clear ROI and basic observability (usage, latency, cost).
• Publish a lightweight playbook (prompt/eval templates, RAG/agent boilerplate, Slack bot kit) others can reuse.
• Document what you ship and train teammates so solutions stick.

Requirements

• Solid grasp of modern AI: LLMs, embeddings, RAG, agents, prompt design, evals/guardrails.
• Comfortable with code: JavaScript/TypeScript or Python (both ideal).
• APIs & automation: REST/GraphQL, webhooks, OAuth, queues/cron; glue things together (POS/ERP/CRM, Sheets, Slack).
  
• Data basics: SQL, Postgres, JSON; pragmatic ETL hygiene; debug messy real-world data.
• Engineering hygiene: testing mindset, profiling/optimisation instincts, concise docs.
• Owner mindset: bias to ship, learn, iterate; low-ego collaboration; clear writing.

Nice to have

• Rails/Node backends; Cloudflare Workers/GCP; Docker/K8s familiarity.
• Observability (logs/tracing), cost tracking for AI calls, feature flags.
• Frontend for internal tools (React/Tailwind).
• Security & privacy awareness (secrets, PII minimisation).

Responsibilities

• Partner with ops, culinary, finance, sales, product/engineering to uncover high-leverage problems and translate them into AI-assisted workflows.
• Prototype fast (days, not weeks): ship v0, measure, iterate to v1–v3.
• Build/evolve LLM pipelines (retrieval, tool-use/agents, evals, guardrails, monitoring).
• Integrate systems end-to-end (APIs, webhooks, queues) to remove manual steps.
• Turn proven hacks into reliable services: tests, observability, cost controls, basic security checks.
• Share patterns: write docs, run demos, raise the org’s AI literacy.

What’s in it for you

• Work with a fast growing, at the same time, lean and mean team, to make real world impact.
• Have a lot of ownership and drive your own results and progression.
• Smart people who sweat the details and push for the highest standards.
• Training and in-house opportunities to help you grow.
• Other benefits include a competitive compensation package and birthday leave.

You should include these in your application:

• CV or LinkedIn profile
• Tell us about a time you had to work on a highly challenging task. How did you overcome it?
• What motivates you?
• What's your favourite food and where do you get it? Why?
• A good way to start is to read about what it is like working at Grain: https://careers.grain.com.sg/