2 дня назад
Senior AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (LLMs/Agentic Systems): Designing and deploying AI agents, enterprise integrations, and scalable agentic workflows with an accent on prompt engineering, AI architecture, and output quality. Focus on implementing MCP servers, testing AI-generated code and documentation, measuring business impact, and mentoring engineers on LLM and AI practices.
Location: Manila, Philippines
Company
is a digital-first financial services company providing technology-driven banking and financial tools for individuals, small businesses, and companies.
What you will do
- Lead the architecture, design, and deployment of AI agents for critical business domains.
- Develop prompts, system designs, AI skills, and plugins while establishing prompt engineering best practices.
- Architect integrations between AI systems and internal platforms, including Model Context Protocol servers and enterprise data integration patterns.
- Design testing and validation strategies for AI-generated code and documentation, and analyze model outputs to improve quality.
- Define KPIs and ROI metrics, report business impact, and identify automation opportunities with software teams.
- Lead proofs of concept, document AI workflows, gather requirements, and mentor junior engineers.
Requirements
- 3–7 years of professional experience in software development and/or AI/ML engineering.
- Strong software development foundation in Python, JavaScript, and .NET, with knowledge of code quality, testing, and architectural patterns.
- Experience leading technical initiatives or mentoring engineers.
- Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline, or equivalent expertise.
- Strong communication skills for explaining AI concepts to technical and non-technical stakeholders.
- Sound judgment regarding AI ethics, guardrails, and responsible AI practices.
Nice to have
- 2+ years of hands-on experience with large language models and prompt engineering.
- Experience designing and deploying agentic systems, workflow automation, REST or GraphQL integrations, and enterprise integration patterns.
- Experience with CI/CD pipelines, GitHub Actions, automated testing, software quality metrics, and code review standards.
- Production experience in banking, financial services, or other regulated industries.
- Experience with Qdrant, Databricks, or enterprise data engineering and analytics platforms.
Culture & Benefits
- Work in a digital-first financial services environment focused on technology-driven solutions.
- Collaborate across software and business teams on enterprise AI adoption.
- Offers are contingent on successful credit, criminal background, medical, and drug screening.
- Reasonable accommodations are available for employees with disabilities.
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