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Fullstack Engineer (Automation)

Dana Indonesia

Daerah Khusus Ibukota Jakarta

On-site

USD 30.000 - 45.000

Full time

30+ days ago

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Job summary

Join DANA Indonesia as an AI Engineer (Full-Stack) and be at the forefront of enhancing financial services through Generative AI. You will design and develop cutting-edge AI applications to automate complex workflows and improve user experiences. Collaborate with a passionate team while leveraging innovative technologies like LangChain and AutoGen, contributing directly to the evolution of AI in FinTech.

Benefits

Competitive compensation
Flexible work culture
Opportunities for growth in AI and automation

Qualifications

  • 3-6 years of experience as a Software Engineer or AI Engineer.
  • Proficiency in Python, JavaScript, or Java.
  • Deep hands-on experience with LangChain, AutoGen, and prompt engineering.

Responsibilities

  • Design and develop AI-driven FinTech applications using NestJS and Node.js.
  • Implement and refine prompt engineering strategies for LLM interactions.
  • Architect and manage PostgreSQL databases for financial data processing.

Skills

Python
JavaScript
Java
LangChain
AutoGen
prompt engineering
PostgreSQL
full-stack development
Kubernetes
CI/CD

Education

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Finance or related fields

Job description

Company Overview:
DANA Indonesia is a leading force in the FinTech industry, driving innovation through cutting-edge AI and automation technologies. We are actively expanding our Automation Team with a mission to redefine financial services through the power of Generative AI.

Role Summary:
We are looking for a skilled and forward-thinking AI Engineer (Full-Stack) with hands-on expertise in LangChain, AutoGen, and prompt engineering. This role is critical to building next-generation AI-powered applications that automate complex financial workflows, enhance data intelligence, and elevate user experiences across DANA’s digital ecosystem.

Key Responsibilities:

  • Design, develop, and maintain AI-driven FinTech applications using NestJS and Node.js, integrating LangChain and AutoGen to build dynamic multi-agent systems.
  • Implement and refine prompt engineering strategies to drive LLM-based user interactions and automation flows.
  • Architect and manage PostgreSQL databases for processing high-volume, structured financial data.
  • Build intelligent testing and automation frameworks to support scalable LLM-based systems.
  • Leverage graph visualization tools to represent and analyze financial data relationships.
  • Define and enforce quality standards across GenAI-based services through robust CI/CD workflows and internal tooling.
  • Collaborate cross-functionally with product managers, data scientists, and other engineers to deliver secure, scalable, and intelligent financial solutions.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Finance, or related fields.
  • 3–6 years of experience as a Software Engineer, AI Engineer, or equivalent role.
  • Proficiency in Python, JavaScript, or Java, with a strong foundation in clean, maintainable code practices.
  • Deep hands-on experience with LangChain, AutoGen, and prompt engineering in production-grade systems.
  • Solid understanding of LLM technologies, and experience building tools or QA platforms to support their quality and reliability.
  • Proven experience in full-stack development using NestJS and modern backend architectures.
  • Strong database skills with PostgreSQL, especially in data-heavy financial applications.
  • Familiarity with Kubernetes, cloud-native environments, and CI/CD pipelines is a plus.
  • Analytical mindset with excellent problem-solving skills and the ability to thrive in fast-paced, high-impact environments.

Why Join Us:

  • Work at the forefront of GenAI innovation in FinTech.
  • Join a team where your ideas directly shape the future of financial services.
  • Competitive compensation, flexible work culture, and opportunities for growth in AI and automation.
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