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BJAK

Applied AI Engineer – Finance Super App

BJAK

Applied AI Engineer building AI-native systems for BJAK's finance super app. Focusing on automation of real workflows and improvement of financial services.

Posted 7/5/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • 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 are useful, safe and reliable.
  • Prototype quickly, test with users or operators, then productionize what works.
  • Improve speed, quality and consistency across workflows using AI where it creates real business value.

Requirements

What you’ll need
  • Strong software engineering foundation, preferably with Python and backend systems.
  • Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools.
  • Able to connect AI systems with real product, data and operational workflows.
  • Good judgement on where AI helps and where rule-based systems or human review are better.
  • Understands evaluation, accuracy, latency, cost, privacy and failure modes.
  • Fast builder who can prototype, test and ship practical systems.
  • Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.

Benefits

Comp & perks
  • Health insurance
  • Remote work
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
Software EngineeringBackend SystemsAI ToolsPrototypingTestingProductionizationData IntegrationAutomation SystemsEvaluation MetricsOperational Workflows
Soft Skills
Good JudgementFast Builder