Teams at BJAK

Build and operate end-to-end ML infrastructure for training, evaluation, deployment, inference, observability, and CI for large-scale AI systems. Optimize reliability, latency, throughput, cost, and developer tooling to enable rapid experimentation and production-grade model serving.

Design, build, and productionize LLM-powered applications and agent workflows. Integrate models with tools, databases, and services; develop prompting, orchestration, evaluation frameworks; debug and optimize AI behavior for reliability, latency, cost, and product impact.

Build and productize AI-native systems for a fintech neobank: AI agents, RAG/LLM-powered workflows, tool integrations, and automations for onboarding, KYC, support, risk, CRM and operations. Focus on production reliability, evaluation, guardrails, latency, cost, security and compliance while collaborating with product and engineering teams.