AI R&D Engineer (2025 Graduate Program) - #1093035
Antalpha

About the Role
Are you excited by artificial intelligence, large language models (LLMs), and building smart tools that make a difference? We’re looking for a passionate AI R&D Engineer to join our team in developing next-generation internal intelligent service platforms. You’ll work on practical applications such as chatbots and enterprise Q&A systems, using technologies like NLP, LLMs, and AI Agents to boost organizational productivity through conversational AI.
This is a full-time entry-level role designed for recent graduates eager to work on real-world AI systems, contribute from day one, and grow their technical expertise in a high-impact team.
What You’ll Do
Build and Enhance Core AI Modules
- Develop components such as text preprocessing, semantic understanding, dialogue management, and retrieval-augmented generation (RAG).
- Optimize the performance and accuracy of internal chatbot and Q&A functionalities.
Explore, Prototype, and Innovate
- Stay on top of AI advancements including prompt engineering, LLM fine-tuning, and agent-based workflows.
- Propose new approaches and experiment with applying them to our internal use cases.
Collaborate Across Functions
- Partner with product managers, algorithm engineers, and backend developers to bring features to life.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
What We’re Looking For
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Mathematics, or a related discipline.
- Proficient in Python; familiar with Linux development environments.
- Solid foundation in NLP concepts; interest or experience in building chatbot or Q&A systems.
- Familiarity with Transformer-based models (e.g., BERT, GPT) and core LLM architecture.
- Bonus: knowledge of retrieval-augmented generation (RAG) frameworks.
Sot Skills
- Curious, proactive, and eager to learn — with strong analytical thinking.
- Team player with clear communication skills, capable of simplifying complex ideas.
- Comfortable working in a bilingual environment (English and Chinese).
How to apply
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