Senior AI Engineer

Stealth Fintech Venture; Philippines; On-site; PHP 1,200,000 - 1,900,000; Full time

Job summary

Stealth Fintech Venture is seeking an experienced Senior AI Engineer to design and deploy production-grade AI-powered products and intelligent systems in the Philippines. You will build autonomous AI agents, RAG pipelines, and scalable AI applications to drive innovation and business growth.

The role combines software engineering excellence with hands-on AI delivery, mentoring, and collaboration with cross-functional teams in a fast-paced startup environment.

Qualifications

• Bachelor’s degree in CS, AI, or related field or equivalent practical experience.
• 5+ years of software engineering with hands-on AI system delivery.
• Experience deploying AI-powered SaaS or enterprise apps.

Responsibilities

• Design, develop, and deploy AI-powered products and intelligent applications.
• Lead AI-native features and multi-agent systems for scalable solutions.
• Integrate LLMs into production applications and platforms.
• Mentor engineers and promote AI engineering best practices.

Skills

Python

TypeScript

LLMs

RAG

Vector databases

MCP

AI agent frameworks

AI orchestration

Prompt engineering

Cloud technologies

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph

LangChain

LlamaIndex

CrewAI

AutoGen

GitHub Copilot

Job description

We are seeking an experienced Senior AI Engineer to design, develop, and deploy next-generation AI-powered products and intelligent systems. This role will play a critical part in shaping the company's AI strategy by building production-grade AI applications, autonomous AI agents, and Large Language Model (LLM)-powered solutions that drive innovation, scalability, and business growth.

The ideal candidate combines strong software engineering expertise with hands-on experience building production-ready AI systems, autonomous AI agents, and scalable AI applications. They thrive in a fast-paced startup environment and are passionate about leveraging emerging AI technologies to solve complex business challenges.

KEY RESPONSIBILITIES

AI Solution Development

• Design, develop, and deploy AI-powered products and intelligent applications.
• Lead the design and implementation of AI-native product features that deliver exceptional
• Build and maintain multi-agent AI systems to solve complex business and engineering
• Develop AI assistants, Retrieval-Augmented Generation (RAG) pipelines, and intelligent workflows.
• Integrate Large Language Models (LLMs) into production applications and internal platforms.
• Design scalable, secure, and reliable AI architectures.

AI Engineering & Innovation

• Research, evaluate, and implement emerging AI technologies, frameworks, and best practices.
• Optimize AI models, prompts, workflows, and inference performance.
• Evaluate AI model quality using appropriate benchmarks and continuously improve accuracy, latency, scalability, and cost efficiency.
• Develop AI-powered automation solutions that improve engineering efficiency and operational productivity.
• Ensure AI solutions comply with security, privacy, governance, and responsible AI best practices.
• Ensure AI solutions are reliable, maintainable, and aligned with security and governance standards.

Cross-Functional Collaboration

• Partner with engineering, product, QA, and business teams to identify opportunities for AI-
• Provide technical guidance on AI architecture, implementation, and integration strategies.
• Collaborate with stakeholders to translate business requirements into AI solutions.
• Support the successful deployment and continuous improvement of AI-powered applications.

Leadership & Technical Excellence

• Participate in architectural discussions and technical decision-making.
• Mentor engineers and promote AI engineering best practices across the organization.
• Promote innovation and knowledge sharing to support continuous improvement across the
• Drive the adoption of AI tools and technologies to improve software development and business processes.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
• Minimum of 5 years of software engineering experience with significant hands-on experience
• Strong proficiency in Python and/or TypeScript.
• Experience designing and deploying applications powered by Large Language Models (LLMs).
• Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases, Model Context Protocol (MCP), and AI agent frameworks.
• Experience integrating AI solutions into production environments.
• Demonstrated experience taking AI solutions from concept through production deployment.
• Experience building AI-powered SaaS platforms or enterprise applications.
• Strong understanding of software architecture, APIs, cloud technologies, and scalable system design.
• Excellent analytical, problem-solving, and communication skills.

AI & AUTOMATION SKILLS

• Advanced proficiency with AI development tools including Codex, Claude, ChatGPT, Gemini, Cursor, and GitHub Copilot.
• Experience designing, building, and managing autonomous AI agent teams and multi-agent systems.
• Ability to develop AI assistants, intelligent workflows, and engineering automations.
• Strong understanding of prompt engineering, AI orchestration, and workflow optimization.
• Experience with modern AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, or similar technologies.
• Passion for emerging AI technologies and continuous innovation.

PREFERRED QUALIFICATIONS

• Experience deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with machine learning frameworks and AI model deployment.
• Familiarity with MLOps, AI monitoring, and model lifecycle management.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience working in Agile or Scrum development environments.
• Previous experience mentoring engineers or leading AI initiatives within a technology organization.
• Experience working in a startup or high-growth technology company.
• Experience developing AI products used by large-scale customer platforms.
• Proven track record of leading AI initiatives that delivered measurable business impact, accelerated product innovation, or improved operational efficiency.

INTERNATIONAL APPLICANTS

We welcome applications from both local and international candidates. Foreign nationals who are willing to relocate to the Philippines are encouraged to apply. Visa sponsorship may be considered, subject to company approval and applicable immigration requirements.