Senior AI/ML Engineer (SaaS / AI & Data)

About the job Senior AI/ML Engineer (SaaS / AI & Data)

Location: NCR,Manila, Philippines. Remote.

Company:US-based Software Development Firm

Position Type:Full-Time

Reporting to:AI Program Lead

Job Brief

Atlantis Consulting is partnering with a leading US-based software development firm to hire a Senior AI/ML Engineer who will play a critical role in building and scaling AI capabilities across a portfolio of SaaS businesses.

This is a high-impact, builder role—focused on shipping production-grade AI solutions (not prototypes) that directly drive revenue, retention, and operational efficiency. You will work closely with executive stakeholders and deploy AI systems across multiple business units, creating compounding value through reusable architecture.

Responsibilities

AI Product Development

• Design and deploy AI/ML features embedded in SaaS products (document intelligence, automation, predictive analytics, AI-assisted UX)
• Integrate LLM APIs (OpenAI, Anthropic, etc.) into production-ready applications
• Own end-to-end development lifecycle: discovery, build, test, deploy, iterate
• Build reusable AI components that scale across multiple companies
• Partner with leadership to prioritize initiatives based on ROI and feasibility
• Support internal AI stakeholders across business units
• Build and maintain AI infrastructure (model serving, pipelines, prompt systems)
• Ensure strong data foundations for AI initiatives across platforms
• Implement evaluation frameworks to monitor model performance

Stakeholder Management & Translation

• Translate business problems into scalable AI solutions
• Communicate technical trade-offs, risks, and timelines to executives
• Collaborate directly with senior leadership and product teams

Knowledge Building & AI Playbook Development

• Contribute to internal AI best practices and frameworks
• Document scalable solutions to drive long-term portfolio value

Requirements

• 5-10+ years in software engineering; 2+ years in AI/ML production environments
• Proven experience integrating LLM APIs into real-world applications
• Strong proficiency in Python and modern AI tooling (LangChain, LlamaIndex, vector DBs)
• Experience with AWS, GCP, or Azure and containerization (Docker/Kubernetes)
• Ability to manage multiple projects across different business units
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Preferred

• Background in SaaS, B2B, or vertical market software
• Experience with agentic AI systems and multi-step reasoning pipelines
• Strong exposure to RAG architectures and vector search
• Familiarity with no-code/low-code tools (Zapier, Make, n8n)
• Experience in multi-entity or portfolio-based environments

Build AI That Scales Across Businesses

This is not a typical engineering role—you will operate at the intersection of AI, product, and business impact. Every solution you build has multiplier effects across multiple companies, giving you unmatched exposure, ownership, and influence. You'll work directly with decision-makers and shape how AI drives real commercial outcomes.