Deskripsi Pekerjaan
Are you a passionate AI Engineer ready to push the boundaries of what's possible? Enshored Inc. is looking for a talented developer to join our fast-moving, innovative AI team. In this role, you will be at the forefront of building scalable LLM applications, designing complex RAG (Retrieval-Augmented Generation) systems, and developing autonomous AI agents that drive real-world impact for our internal operations and high-profile clients.
We value engineers who are not just coders but problem-solvers. You will work in a collaborative environment where your technical insights directly shape our AI product roadmap. If you thrive on solving challenging architectural problems and want to work with cutting-edge technologies, this is the perfect opportunity to elevate your career while enjoying competitive benefits, including HMO coverage for you and a free dependent from Day 1.
Tanggung Jawab
- Design, develop, and deploy scalable AI-driven applications using modern LLM frameworks.
- Engineer and optimize RAG pipelines to enhance context-aware response accuracy.
- Build and maintain autonomous AI agents capable of performing complex tasks with minimal oversight.
- Collaborate with cross-functional teams to integrate AI solutions into existing business workflows.
- Monitor and fine-tune model performance to ensure high availability and low latency.
- Document technical specifications and maintain high standards of code quality and security.
- Stay up-to-date with the latest advancements in Generative AI and machine learning research.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- At least 2-3 years of professional experience in software engineering, with a focus on AI/ML.
- Proficiency in Python and deep understanding of AI frameworks (LangChain, LlamaIndex, PyTorch, or TensorFlow).
- Hands-on experience building and deploying LLM applications and vector database integrations (e.g., Pinecone, Milvus).
- Experience with cloud platforms (AWS, GCP, or Azure) for AI infrastructure deployment.
- Strong understanding of API design and integration best practices.
- Excellent analytical, problem-solving, and communication skills.