AI Engineers

What You Will Do

• Build, deploy, and iterate on AI agents using Salesforce Agentforce, LLM APIs, and related AI tooling.
• Implement retrieval‑augmented generation (RAG) pipelines that connect AI agents to the knowledge base.
• Integrate AI agents with CRM and support platforms including Salesforce, Zendesk, and AWS Connect.
• Debug AI behavior, diagnose hallucinations, retrieval failures, incorrect escalations, and poor resolution rates.
• Collaborate with the AI Support Architect to implement orchestration and agent behavior designs.
• Work with Knowledge Engineers to test that AI retrieves the right knowledge for specific customer queries.
• Write clean, maintainable code and contribute to AI system documentation.
• Participate in evaluation cycles: running test cases, measuring AI accuracy, and flagging regressions.
• Stay current with LLM developments, new AI tooling, and emerging best practices for AI in customer support.

What We Are Looking For

• 3+ years of software engineering experience with at least 1–2 years working on AI or ML systems.
• Hands‑on experience with LLM APIs (OpenAI, Anthropic, Cohere, etc.) and prompt engineering.
• Experience implementing RAG architectures using vector databases (e.g., Pinecone, Weaviate, pgvector).
• Proficiency in Python and/or Node.js for AI system development.
• Experience with API integrations in complex, multi‑system environments.
• Familiarity with Salesforce, Zendesk, or AWS Connect is a strong advantage.

Skills & Competencies

• LLM integration: building production‑grade AI pipelines using LLM APIs and prompt engineering.
• RAG systems: designing and implementing retrieval‑augmented generation with vector databases.
• Python / Node.js: writing clean, testable code for AI agents and integrations.
• API and system integration: connecting AI agents to CRM, support, and communication platforms.
• Debugging: diagnosing and resolving AI behavior failures across retrieval, reasoning, and response quality.
• Collaboration: working closely with AI architects, knowledge engineers, and platform teams.

Core Attributes

• Builder mindset and motivation to ship working AI systems that solve real customer problems.
• Curious and self‑directed, proactively exploring new AI capabilities and sharing findings with the team.
• Detail‑oriented: understanding that AI errors have customer impact and taking quality seriously.
• Comfortable with ambiguity in a fast‑moving AI landscape.
• Team player who communicates clearly about progress, blockers, and technical trade‑offs.

Benefits

• Career growth opportunities in a diverse and supportive work environment.
• Competitive salary package.
• Prime office location in Ortigas with convenient access to public transit, restaurants, and banks.
• Hybrid working arrangement (2 days WFH).
• HMO coverage with free dependent benefits upon hire.
• Free 24/7 access to our office gyms (Ortigas and Makati).
• 20 annual leaves, including 5 credits convertible to cash.
• Additional benefits such as flexible leave, paid volunteer time, referral rewards, regional healthcare coverage, parental leave, tuition reimbursement, and the ability to work from anywhere in the world for two weeks per year.

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. We believe that belonging is a direct result of diversity, equity, and inclusion.