Applied AI Engineer - AI Finance Agent
Bjakcareer · United States
About this role
**Applied AI Engineer — AI Finance Agent** **About BJAK** BJAK’s mission is to help people plan, save, and grow their money with smarter financial tools. Since 2019, BJAK has built a mobile-first insurance platform and is now expanding into broader financial services across spending, saving, investing, exchanging, traveling, and more. **The Role** We’re looking for **Applied AI Engineers** to build **AI-native systems** for BJAK’s **AI Finance Agent**. This is **not** a research-only role—this is a builder role focused on automating real workflows, improving products, reducing manual work, and making financial services easier for users and teams. **What You’ll Own** - Build **AI-powered workflows, assistants, agents, and automation systems** - Apply AI across **customer support, CRM, onboarding, claims, renewals, payments, operations**, and internal tools - Partner 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** for useful, safe, and reliable outputs - **Prototype quickly**, test with users/operators, then productionize what works - Improve **speed, quality, and consistency** across workflows where AI creates real business value **What We’re Looking For** - Strong software engineering foundation (preferably **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 when AI helps vs. when **rule-based systems or human review** are better - Understanding of **evaluation, accuracy, latency, cost, privacy, and failure modes** - Fast builder who can **prototype, test, and ship** practical systems - Fintech/insurance/support automation/CRM/operations automation experience is a plus **The Kind of Builder We Want** - Practical AI builder (not just a prompt experimenter) - Thinks in **workflows, systems, and measurable quality** - Builds quickly while caring about **guardrails and reliability** - Comfortable with **messy real-world data and processes** - Honest about what AI can and cannot do **This Role Is Not For** - People who only want **research projects** with no production ownership - Candidates who treat AI as **demos** instead of working systems - Engineers who don’t care about **evaluation, reliability, or user impact** - People who **overclaim** AI impact without evidence - Builders who can’t work with **product, ops, and business teams** **Location** - **Remote**, but candidates must be **based in the US** **Language** - **Strong English communication** required **Interview Process** 1. Online assessment / practical task 2. Technical interview 3. CEO / final round For strong candidates, the process aims to complete and make an offer within **1 week** from the start of the interview process.
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