Applied LLM Engineer (Fellowship program)

About our program 

A 3-month fellowship where you’ll build with production-grade LLM infrastructure. At BioTuring, we host, fine-tune, evaluate, and deploy open-source LLMs on infrastructure we’ve built ourselves.
You’ll contribute to the platform itself while applying it to develop and deploy AI systems for real-world life science applications. You will be based at our Ho Chi Minh City office (Thao Dien), or VIASM in Hanoi; or remote within Vietnam is also possible, though onsite is where you’ll grow fastest alongside our AI and research teams.

What to expect

• The expected base allowance for this role is VND 11 mil gross per month, with an expectation of 40 hours per week for 3 months. 
• Funding for computing resources (~$15k/month) and other research expenses.
• The path ahead: Top fellows fast-track to B-GENS 2027, where the starting salary is VND 18M gross for the first 5 months – after which your salary will be adjusted based on your performance and contribution.
• Direct mentorship from senior researchers and engineers in BioTuring. 
• Free meals daily.  

Role Description

• Build and develop LLM modules, harness – take real ownership of how foundation models are deployed across GPU clusters and scaled for production.
• Design and test LLM modules for biology/bioinformatics workflows — your work ships, your benchmarks matter, and you drive improvements end-to-end.
• Own performance optimization: profile, benchmark, and debug — make our inference workflows measurably faster and more efficient.
• Collaborate directly with research and engineering teams — contribute clean APIs, testing frameworks, and infrastructure that accelerates our AI products.

Requirements

• Strong Python + ML/DL frameworks (PyTorch, Hugging Face, or similar).
• Understanding of LLM serving and inference — deployment, APIs, latency/memory optimization (vLLM/TGI is a plus).
• Independent profiling, benchmarking, and debugging skills — self-driven projects or production contributions.
• Genuine interest in biology/bioinformatics and AI for science.
• Ownership mindset — thrive in ambiguity, ship fast, raise your own bar.