Bjakcareer Applied AI Engineer role at BJAK to build AI-native systems for the AI Neobank app. Focus on creating AI agents, workflows, and automations to solve real financial service problems.
Responsibilities
We are looking for applied AI engineers to build AI-native systems for BJAK's AI Neobank app.
This is not a research-only role. We need builders who can use AI to automate real workflows, improve products, reduce manual work and make financial services easier for users and teams.
What You Will Build
Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows.
Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence.
Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
Turn manual processes into reliable AI-enabled systems that can scale.
What We Look For
Hands-on engineering ability, not just AI strategy or management experience.
Experience building AI agents, LLM apps, RAG systems, automation workflows, copilots or AI-enabled tools.
Qualification
Hands-on experience with trainingAbility to write cleanFintech experienceBanking experienceSupport automation experienceRisk experienceKYC experienceFraud experienceCRM experienceOperations automation experience
Required
Strong foundation in machine learning and modern neural network architectures
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments