Online AI Developer Jobs (Work From Home)

Typical ranges for remote Filipino specialists, reviewed July 2026. Paid in USD, direct to you.

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• LLM API integration and streaming: Production-grade LLM API calls with streaming responses, token management, context window handling, and cost-aware model selection, not just tutorial-level API calls.
• RAG pipeline implementation: Document chunking strategies, embedding model selection, vector database configuration (Pinecone, Weaviate, pgvector), and retrieval quality evaluation. Ask for a real RAG system they built.
• AI agent frameworks (LangChain, LlamaIndex, or custom): Tool-calling, agent memory, multi-step reasoning loops, and agent evaluation. Ask how they handle cases where an agent makes a wrong tool call or enters an infinite loop.
• Python for AI development: Async Python, data handling with pandas or Polars, and working with AI framework libraries; Python fluency is the baseline language for AI development work.
• Prompt engineering and prompt management: Writing structured system prompts, managing prompt versions, and running A/B tests on prompt variants; an AI Developer should treat prompts like code, with version control and testing.
• Vector database and embedding operations: Semantic search, similarity thresholds, hybrid search with keyword filters. Ask how they tune retrieval quality and measure recall in a production RAG system.

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