Senior AI Engineer Night Shift(Metro Manila
3 days ago
Employment Type:
Full-time -Night shift
Experience Level:
Senior (5+ years)
Location:
Felina Corporate Plaza, 5 Eastwood Ave, Quezon City, 1110 Metro Manila Philippines (Remote)
About the Role
We are seeking a highly skilled and self-driven Senior AI Engineer to join our team as a key contributor in building and scaling generative AI solutions. This remote night-shift role is ideal for someone with deep hands-on experience in generative AI, large language models (LLMs), and Retrieval-Augmented Generation (RAG), who thrives in fast-paced environments and is passionate about solving real-world problems through AI.
Responsibilities
- Lead the design, development, and deployment of generative AI systems, including LLM-based agents and RAG pipelines.
- Collaborate with cross-functional teams (PMs, data scientists, backend engineers) to define product scenarios and optimize AI workflows.
- Architect scalable AI solutions using modern cloud platforms (Azure) and MLOps tools (MLFlow, Kubeflow, CI/CD).
- Implement and optimize vector databases (e.g., FAISS, Pinecone, Qdrant) and retrieval systems for enterprise knowledge integration.
- Drive prompt engineering, model fine-tuning, and performance evaluation strategies.
- Contribute to the teams technical roadmap, mentor junior engineers, and promote best practices in AI development.
Qualifications
- Minimum 5 years of experience in AI/ML engineering, with proven expertise in generative AI, LLMs (OpenAI), and RAG architectures.
- Strong programming skills in Python and familiarity with frameworks like LangChain, LangGraph, FastAPI.
- Experience with cloud-native AI development (Azure AI Studio, Cognitive Search, AKS, Azure ML).
- Solid understanding of backend systems, microservices, and distributed computing.
- Familiarity with MLOps practices and tools for scalable deployment and monitoring.
- Excellent communication skills and a proactive mindset to contribute ideas beyond assigned tasks.
Preferred
- Experience in building production-grade AI agents for enterprise use cases.
- Background in NLP, transformers, and model orchestration.
- Prior contributions to open-source AI projects or publications.
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