Applied AI Engineer - AI Finance Agent
About this job
BJAK is looking for an Applied AI Engineer to join their team and build AI-native systems for the BJAK AI Finance Agent. Since 2019, BJAK has grown into a leading mobile-first insurance and financial platform in Southeast Asia, with a mission to help people plan, save, spend, and grow their money smarter. In this role, you will act as a hands-on builder rather than focusing purely on research. A normal day involves designing AI-powered workflows and automation systems, integrating LLMs with internal data and APIs, collaborating with product and engineering teams, and prototyping solutions that transform manual financial services processes into scalable, reliable tools.
Responsibilities
- Build AI-powered workflows, assistants, agents, and automation systems.
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
- Work with product and engineering teams to turn manual processes into scalable AI-native systems.
- Build integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems.
- Design evaluation, monitoring, and fallback flows so AI outputs remain useful, safe, and reliable.
- Prototype quickly, test with users or operators, and productionize working solutions.
- Improve speed, quality, and consistency across workflows using practical AI solutions.
Requirements
- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience building with LLM APIs, agents, RAG, workflow automation, or AI tools.
- Ability to connect AI systems with real product, data, and operational workflows.
- Good judgment on where AI helps versus where rule-based systems or human review work better.
- Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
- Fast builder capable of prototyping, testing, and shipping practical systems.
- Strong English communication skills.
Good to have
- Experience in fintech, insurance, support automation, CRM, or operations automation.
Who should apply
This role suits practical, hands-on builders who want to ship production-ready AI systems rather than working on pure research projects or demo-only concepts. Ideal candidates think in terms of workflows, systems, and measurable quality while staying comfortable with messy real-world data. Applicants must be based in India and possess strong English communication skills. The posting does not mention whether freshers can apply, focusing instead on candidates with a strong software engineering foundation and relevant hands-on AI building experience.
Frequently asked questions
What is the primary mission of the Applied AI Engineer - AI Finance Agent role at bjakcareer?
The role involves building AI-native systems and automation workflows for BJAK's AI Finance Agent to make financial services easier and reduce manual work.
Where is the Applied AI Engineer - AI Finance Agent position located?
The role is remote, but candidates must be based in India.
What technical background is required for the Applied AI Engineer - AI Finance Agent at bjakcareer?
Candidates need a strong software engineering foundation with Python and backend systems, along with hands-on experience using LLM APIs, agents, RAG, and workflow automation.
What does the interview process look like for the Applied AI Engineer - AI Finance Agent position?
The process includes an online assessment or practical task, a technical interview, and a CEO or final round.
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