AI Engineer / Programmer

Salary: ₱60,000 – ₱80,000 per month

📍 100% Remote | Graveyard Shift
📍 Philippines-Based Candidates Only
📍 Applicants must be legally authorized to work in the Philippines

About the Role

We are seeking an experienced AI Engineer / Programmer to design, develop, and deploy production-grade AI applications that solve real business challenges.

This role is ideal for a software engineer who has hands-on experience building LLM-powered applications, AI assistants, RAG solutions, workflow automations, and agentic systems. You will work closely with business stakeholders, product teams, and developers to transform business requirements into scalable AI-driven solutions.

If you're passionate about Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud technologies, we'd love to hear from you.

Key Responsibilities

AI Application Development

• Design, develop, test, and maintain AI-powered applications, assistants, chatbots, and workflow automations.

• Build solutions leveraging LLM APIs, prompt engineering, structured outputs, tool calling, and Retrieval-Augmented Generation (RAG).

• Develop scalable backend services, APIs, and integrations to support AI solutions.

• Optimize AI application performance, reliability, accuracy, and cost efficiency.

Document Intelligence & Knowledge Systems

• Build document ingestion and retrieval pipelines.

• Implement document parsing, chunking, embeddings generation, indexing, and metadata management.

• Develop enterprise knowledge retrieval solutions utilizing vector databases and semantic search technologies.

• Ensure data quality, retrieval accuracy, and contextual relevance.

AI Agents & Workflow Automation

• Design and implement multi-step agentic workflows.

• Build AI agents with clear permissions, approval checkpoints, and error-handling mechanisms.

• Develop and integrate external tools, APIs, and Model Context Protocol (MCP) servers.

• Implement intelligent workflow automations that improve business operations and productivity.

Cloud & Enterprise Integration

• Integrate AI applications with enterprise systems, databases, APIs, business applications, and document repositories.

• Deploy and manage AI solutions on cloud platforms and containerized environments.

• Support cloud-hosted and on-premises AI deployments.

Governance, Security & Monitoring

• Implement authentication, authorization, secrets management, logging, and data access controls.

• Address AI risks, including prompt injection, hallucinations, unsupported responses, and unintended data exposure.

• Establish prompt versioning, change management, and governance practices.

• Monitor model performance, latency, costs, usage patterns, and accuracy.

Stakeholder Collaboration

• Collaborate with business stakeholders to define use cases, requirements, acceptance criteria, and success metrics.

• Translate business needs into maintainable and scalable technical solutions.

• Communicate technical concepts and trade-offs to both technical and non-technical audiences.

Required Qualifications

• Minimum 3 years of professional software development experience, including hands-on experience building AI or LLM-based applications.

• Strong proficiency in Python and SQL.

• Experience developing APIs, backend services, integrations, and enterprise applications.

• Experience working with commercial and open-source LLMs.

AI & Machine Learning Expertise

• Hands-on experience with:

  • OpenAI

  • Azure OpenAI

  • Anthropic Claude

  • Hugging Face

  • Ollama

  • Transformers

  • Tokenizers

  • Datasets

• Experience building:

  • RAG applications

  • AI assistants

  • Semantic search solutions

  • Knowledge retrieval systems

  • Conversational AI platforms

Vector Databases & Retrieval

• Experience with:

  • Pinecone

  • FAISS

  • ChromaDB

  • Weaviate

  • Equivalent vector database technologies

• Strong understanding of:

  • Embeddings

  • Retrieval strategies

  • Indexing techniques

  • Metadata filtering

Fine-Tuning & Model Adaptation

• Experience with:

  • LoRA

  • QLoRA

  • PEFT

  • Supervised Fine-Tuning (SFT)

  • Model Distillation

• Understanding of when to use model fine-tuning versus Retrieval-Augmented Generation (RAG).

AI Workflow & Agent Frameworks

• Experience designing and implementing agent-based systems using:

  • LangGraph

  • LangChain

  • LlamaIndex

  • CrewAI

  • AutoGen

  • Custom orchestration frameworks

• Experience building and integrating MCP servers and external tool connectors.

Data & Database Skills

• Strong SQL and database development skills.

• Understanding of:

  • Relational databases

  • Data modeling

  • ETL processes

  • Data transformation

  • Data integration

Cloud & DevOps

• Experience deploying applications on:

  • Microsoft Azure

  • AWS

  • Google Cloud Platform (GCP)

• Experience with:

  • Azure AI Foundry

  • AWS Bedrock

  • Docker

  • CI/CD Pipelines

  • Git

  • Automated Testing

  • Containerized Inference Services

Security & Architecture

• Understanding of:

  • Application security

  • Identity management

  • Access controls

  • Enterprise data protection

  • Secure AI deployment practices

Education

• Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field.

• Equivalent practical experience will also be considered.

Preferred Qualifications

• Experience deploying production AI applications serving internal or external users.

• Experience with GPU-based inference and optimization.

• Familiarity with:

  • LangSmith

  • Langfuse

  • Arize Phoenix

  • AI observability and monitoring platforms

• Experience working with enterprise document repositories and business applications.

• Experience supporting AI governance, responsible AI initiatives, and compliance requirements.

Ideal Candidate

We're looking for someone who:

✅ Has built and deployed production AI applications using LLMs

✅ Understands RAG, vector databases, and agentic workflows

✅ Can balance AI innovation with security, governance, and maintainability

✅ Enjoys solving complex business challenges through technology

✅ Can communicate effectively with both technical and non-technical stakeholders

✅ Thrives in a fast-paced, highly collaborative environment

Why Join Us?

100% Remote Work Setup
Exposure to Cutting-Edge AI Technologies
Opportunity to Build Enterprise-Scale AI Solutions
Work with Global Teams and Modern Cloud Platforms
Career Growth in Artificial Intelligence and Software Engineering
Competitive Compensation and Long-Term Career Opportunities

If you're an AI Engineer passionate about building impactful AI solutions, we encourage you to apply and help shape the future of intelligent business applications.