Applied AI Engineer

Bjak · Remote · Indonesia ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (Indonesia)
  • Python + TypeScript
  • LLM & RAG systems
  • Fintech domain
  • Fast hiring process

You will build AI agents, tools, and automations that solve real problems in customer support, operations, and product intelligence. This is a production-focused engineering role where you apply LLMs, retrieval, and guardrails to practical financial workflows.

The team works to turn manual processes into reliable, scalable AI-enabled systems. You will collaborate with product and engineering groups to identify high-value opportunities and ship working solutions quickly.

What you'll do

  • Build AI agents and workflows to automate customer and operational tasks
  • Apply LLMs, retrieval, and tool calling to financial service workflows
  • Create AI-assisted experiences for onboarding, KYC, and support
  • Design systems considering accuracy, latency, cost, and security constraints
  • Collaborate with product teams to identify and build high-impact features
  • Convert manual processes into scalable, reliable AI-enabled systems

What you'll need

  • Hands-on engineering experience building AI agents or LLM applications
  • Strong coding skills in Python, TypeScript, or JavaScript
  • Experience with RAG systems, automation workflows, or copilots
  • Ability to ship working systems and improve reliability over time
  • Strong judgment on what processes should be automated
  • Fluent English communication skills for global team collaboration

Nice to have

  • Experience in fintech, banking, or insurance sectors
  • Background in support automation, risk, or fraud detection
  • Knowledge of KYC, CRM, or operations automation

Stack

  • Python
  • TypeScript
  • JavaScript
  • LLMs
  • RAG

How you'll work

  • Fully remote work arrangement
  • Candidates must be based in Indonesia
  • English is the primary working language

Hiring process

  • Online assessment or practical task
  • Technical interview
  • Final round with CEO
  • Targeting one week from start to offer