Senior AI Engineer

2 days ago

Work from Home, Philippines Thrive Technologies Inc. Full time

How to Apply:

Copy and Paste the Link below in the browser to generate the application form:

Rate: $11/hr and earn up to PHP 110,000+/month

Schedule: Monday - Friday: 8:30 AM - 5:00 PM PST with 30-Minute Unpaid Lunch break and Two 15-Min Paid Breaks

Senior AI Engineer (Work from Home)

About the Role

We're looking for a Founding AI Engineer to build intelligent, autonomous AI agents for cybersecurity. You'll work across our entire AI stack—from prompt engineering and context assembly to multi-agent orchestration and evaluation systems.

This is an early-stage founding role where you'll shape how AI solves real security problems. If you love building with LLMs and want to be there from day one, this is for you.

Responsibilities:

  • Design and implement autonomous AI agents with reasoning and tool-use capabilities
  • Build context engineering (RAG/CAG) pipelines for consistent, grounded agent outputs
  • Design inference orchestration systems for multi-step agent workflows
  • Create multi-agent systems with role specialization and orchestration
  • Implement agent memory systems, evaluation frameworks, and monitoring
  • Work with security experts to encode domain knowledge into agent architectures
  • Ship AI features end-to-end: from prototype to production

Must Have Qualifications:

Core Skills

  • Strong hands-on experience building with LLMs in production (Claude, GPT-4, Gemini)
  • Experience with agent frameworks: LangGraph, LangChain, AutoGen, or CrewAI
  • Expert-level prompt engineering: few-shot, chain-of-thought, ReAct patterns
  • Context engineering: chunking strategies, indexing, reranking, and retrieval systems
  • Prompt management: versioning, evaluations, traces, and deployment workflows
  • LLMOps and observability: monitoring, debugging, and optimizing LLM applications
  • Experience with Langfuse or similar LLM observability platforms
  • Vector databases (Pinecone, Weaviate, Qdrant, Chroma, FAISS)
  • Understanding of LLM APIs, function calling, and structured outputs
  • Knowledge graphs, ontologies, and graph databases
  • Expert Python and building scalable APIs (FastAPI, Flask)
  • SQL/NoSQL systems, async patterns, message queues, event-driven architectures
  • AI security: prompt injection mitigation, guardrails, output validation
  • Performance optimization and cost management for LLM applications
  • Designing systems for reliability and scalability
  • Exposure to DevOps and deployment technologies: Docker, Kubernetes, AWS/GCP/Azure
  • Exposure to Multi-tenant SaaS architecture and data isolation

Technical Stack

  • Languages: Python 3.x, JavaScript, Go
  • Agent Frameworks: LangGraph, LangChain, LlamaIndex, AutoGen
  • LLM APIs: Claude, OpenAI, Gemini
  • Vector DB:
  • Pinecone, Weaviate, Qdrant, Chroma, FAISS
  • LLMOps: Langfuse (observability, prompt management, tracing)
  • ML Libraries: Hugging Face, sentence-transformers
  • API: FastAPI, Flask
  • Infrastructure: AWS/GCP/Azure, Docker

Nice To Have Qualifications:

  • You've owned significant AI features or systems end-to-end
  • You move from vague ideas to shipped features independently
  • You care about code quality, testing, and system reliability
  • Experience with model fine-tuning, RLHF, LoRA, or domain adaptation
  • GPU optimization and inference acceleration (vLLM, TensorRT)
  • Open-source contributions or technical writing

Job Type: Full-time

Pay: Php644.15 per hour

Expected hours: 40 per week

Benefits:

  • Work from home

Work Location: Remote

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