2 months ago
Manila, PhilippinesMid Level / Senior
Responsibilities
- Lead the design, architecture, deployment, and quality standards for AI agents serving specific business domains.
- Develop prompts, system designs, AI skills, plugins, and best practices for prompt engineering.
- Architect integrations between AI systems and internal platforms, including MCP servers and enterprise data integration patterns.
- Analyze AI model outputs and iteratively improve prompt and system design.
- Design testing strategies and quality standards for AI-generated code and documentation.
- Establish and track KPIs and ROI metrics for AI systems and report business impact to stakeholders.
- Collaborate with software teams to identify automation opportunities and design scalable agentic workflows.
- Lead proofs of concept and prototypes before enterprise deployment.
- Mentor junior engineers and drive adoption of AI best practices across development teams.
- Document AI workflows, architectural decisions, and enterprise best practices.
- Lead discovery, requirements gathering, feasibility assessment, and ROI validation for AI-driven solutions.
Requirements
- 3–7 years of professional experience in software development and/or AI/ML engineering.
- Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline, or equivalent demonstrated expertise.
- Demonstrated experience leading technical initiatives or mentoring engineers.
- Strong software development foundation in Python, JavaScript, and/or .NET, with knowledge of code quality, testing, and architectural patterns.
- Strong communication skills for explaining AI concepts to technical and non-technical audiences.
- Preferred: 2+ years of hands-on experience with LLMs and prompt engineering.
- Preferred: experience designing and deploying agentic systems, complex workflow automation, API integrations, REST, GraphQL, software architecture, CI/CD pipelines, GitHub Actions, automated testing, and code review.
- Preferred: knowledge of prompt injection risks, AI security, responsible AI practices, Qdrant, Databricks, and enterprise data engineering or analytics platforms.
- Preferred: production experience in financial services, banking, or other regulated industries.
Tech Stack
Categories
About Axos Bank
Axos Bank is a digital-first, publicly traded bank (NYSE: AX) offering consumer and business banking, lending, and wealth services, including checking and savings accounts, mortgages, auto and personal loans, and CDs. Founded in 2000 and headquartered in San Diego, it also provides securities clearing and custody through Axos Clearing for broker-dealers and RIAs, with revenue driven by interest income and fees across its nationwide online platform.