Deskripsi Pekerjaan
Are You Ready to Build the Intelligent Enterprise?
EMAPTA is looking for a visionary Technical AI Enablement & Workflow Engineer to join our pioneering global team. In this critical role, you will move beyond simple integrations to architect complex, autonomous multi-agent systems that transform how our organization operates.
From day one, you will lead the design, development, and deployment of sophisticated AI workflows, Retrieval-Augmented Generation (RAG) pipelines, and intelligent automation agents. You will collaborate with global leadership to identify high-impact opportunities, select optimal technology stacks (Python, LangChain, LLMs, Vector DBs), and drive projects from proof-of-concept to production excellence.
This is a permanent work-from-home position with a night shift schedule, offering you the ultimate flexibility to build a global tech career without leaving the Philippines. Enjoy Day 1 HMO, continuous learning opportunities, and the chance to work on challenging international projects that directly impact business outcomes.
If you are a proactive, deeply technical problem-solver with a passion for AI and enabling others, your future starts here. Apply today and become a key architect of the next generation of work.
Tanggung Jawab
- Architect, design, and end-to-end implement advanced AI workflows and intelligent multi-agent systems to automate complex business processes.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating large language models (LLMs) with enterprise knowledge bases.
- Collaborate with cross-functional stakeholders to identify, analyze, and prioritize high-value automation opportunities across the business.
- Build and maintain scalable APIs and microservices to expose AI capabilities to internal applications and platforms.
- Implement robust monitoring, logging, and evaluation frameworks (e.g., LangSmith, MLflow) to ensure the reliability and performance of AI agents.
- Conduct technical enablement sessions, creating documentation and best practices to democratize AI development across the organization.
- Stay ahead of the rapidly evolving AI landscape, evaluating and prototyping new tools, models, and frameworks (LangChain, AutoGen, Gemini, Claude, etc.).
- Lead code reviews, enforce coding standards, and mentor junior engineers in AI engineering and workflow automation best practices.
Kualifikasi
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. An advanced degree (Master’s or PhD) is a strong plus.
- 3-5+ years of hands-on experience in AI/ML engineering, with at least 2 years focused on generative AI, LLMOps, or intelligent automation.
- Deep technical expertise in Python and machine learning frameworks (PyTorch, TensorFlow) alongside modern AI orchestration tools (LangChain, LlamaIndex, CrewAI).
- Proven experience deploying and managing AI solutions on cloud platforms (AWS SageMaker, GCP Vertex AI, Azure AI) using container orchestration (Docker, Kubernetes).
- Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and API design (REST, gRPC).
- Exceptional communication skills with the ability to explain complex AI concepts to non-technical stakeholders and drive adoption.
- Strong ownership mindset and the ability to work independently in a permanent WFH night shift environment with a reliable home office setup.
- Experience with vector databases (Pinecone, Weaviate, Chroma), prompt engineering, and advanced RAG techniques is highly desired.