AI Engineer

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

  • Retriev