Applied Ai Engineer - Ai Finance Agent
About the Role
Build and productionize AI-native systems for BJAK's AI Finance Agent, automating workflows across customer support, CRM, onboarding, claims, payments and internal operations. The role focuses on integrating LLMs, agents and data sources to create reliable, evaluated and scalable automation in the fintech/insurance context.
Builds AI-native agents and workflows with LLM APIs, agents and RAG; focused on rapid prototyping and productionizing AI for finance.
Location: Philippines
Type: Full Time
Posted: Yesterday
Category: AI/ML & Data
Vibe Markers: 💻 Open Source, 🔥 Hot
Experience Level: Mid
Job Description
Role
Applied AI Engineer focused on building AI-native systems for BJAK’s AI Finance Agent. This is a builder role that emphasizes production ownership: turning prototypes into scalable automation that improves product workflows and reduces manual work.
Key Responsibilities
- Build AI-powered workflows, assistants, agents and automation systems.
- Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
- Integrate LLMs, internal data, APIs, documents, knowledge bases and business systems.
- Design evaluation, monitoring and fallback flows to ensure AI outputs are useful, safe and reliable.
- Prototype quickly, test with users or operators, and productionize successful solutions.
- Improve speed, quality and consistency across workflows where AI provides real business value.
Requirements
- Strong software engineering foundation, preferably with Python and backend systems.
- Hands-on experience building with LLM APIs, agents, retrieval-augmented generation (RAG), workflow automation or similar AI tools.
- Ability to connect AI systems with product, data and operational workflows.
- Good judgment on when to use AI vs rule-based systems or human review.
- Understanding of evaluation metrics, accuracy, latency, cost, privacy and failure modes.
- Fast prototyping and productization skills; focus on practical, measurable impact.
- Strong English communication skills.
Preferred / Nice-to-have
- Experience in fintech, insurance, support automation, CRM or operations automation.
The Kind of Builder Desired
- Practical applied-AI engineer (not research-only or purely experimental prompt engineer).
- Thinks in workflows, systems and measurable quality; cares about guardrails and reliability.
- Comfortable working with messy, real-world data and processes.
Not a Fit
- Roles that are research-only with no production ownership.
- Candidates who treat AI as demos rather than working systems.
- Engineers who do not prioritize evaluation, reliability or user impact.
Location & Language
- This role is remote but restricted to candidates based in the Philippines. English is the primary working language and strong English communication is required.
Interview Process
- Online assessment or practical task
- Technical interview
- CEO / final round
Strong candidates may receive an offer within a week from the start of the process.
Tech Stack
Python, LLM APIs, Agents, Retrieval-Augmented Generation (RAG), Workflow automation, APIs, Documents, Knowledge bases, CRM systems, Backend systems
Skills
Applied AI Engineering, Software Engineering, Backend Development, LLM Integration, Workflow Automation, System Integration, Evaluation & Monitoring, Prototype to Production, Reliability and Guardrails, Data Integration, Product Collaboration, Communication, Fintech Domain Knowledge
Benefits
- Fully Remote (Philippines-based)
- Work with international/global teams