Experience Level: Entry-level to Senior (< 9 years of experience) 

Education Requirement: Doctorate (Ph. D.) or expected graduate

Job Type: Full-time, on-site (3-month probationary period) 

Salary: To be determined after the interview process

Work Schedule: 5 days a week (Monday - Friday)

Location: Munjeong-dong, Seoul

Overview

At GAIA-BT, our mission is to automate the high-cost, low-efficiency bio R&D process by creating cutting-edge AI agents.
www.gaia-bt.com

As an LLM Engineer on our research team, you will be responsible for developing our core technology, LLM-powered AI Agents for Bio R&D automation, accelerating the plan-evaluation-analysis cycles. This role involves close collaboration with our internal biology R&D team and a vast network of over 3,000 industry consultants, connecting the technologies of our diverse partners with our own to deliver new and transformative value to the bio industry.

Our work environment is both collaborative and innovative, where your ideas are valued and supported to drive real-world impact. If you are ready to solve complex challenges in AI and biotechnology and shape the future of R&D automation, apply today! 

Applications for this job will be accepted until September 30th  (Tue.) 23:59 KST/UTC+9.

Role Description

As a LLM Engineer at GAIA-BT, you will develop agents that intervene in the various plan-evaluation-analysis cycles of bio R&D to accelerate the process. Furthermore, you will connect the technologies of our diverse partners—each with different expertise across bio industry value chains—with GAIA-BT's technology through these agents to deliver new value. 

R&D Focus: Bio Materials, specific research topics include:

• Enhanced User Experience via Multi-modal Active Learning: Analyzes user data based on the various structured and unstructured data predicted by GAIA-GPT's AI functions, and provides insights that can reduce researchers' experimental trial-and-error. As the user inputs more data (e.g., project information, research data, experimental results, requirements), the platform integrates this information to progressively generate more accurate and refined insights.

• Multi-platform Closed-loop Optimization: Mediates GAIA-GPT's AI and “external environment” to optimize the iterative “predict-synthesize-analyze” loop. “External environment" is defined dynamically; it can refer to physical hardware, such as lab equipment, or the entire experimental process and workflow itself.

• Real-time Search and Database Construction of Unstructured Professional Documents: Extracts up-to-the-minute information from papers and patents by combining academic search, document parsing, and bioinformatics algorithms. From this information, GAIA-GPT presents and interprets accurate data to determine novel functional ingredient candidates, novelty and combination references. 

Qualifications

Education:

• Master's or Ph.D. in Artificial Intelligence, Computer Science, Computational Science, Computer Engineering, or a related field.

Experience & Hard Skills:

• Proven experience designing, building, and deploying LLM-based applications.

• Experience in product-level development 

• Proficiency in latest LLM-centric development frameworks (e.g., LangChain, LangGraph, LlamaIndex, Ollama).

• Proficiency in model optimization (e.g. Hyperparameter Optimization, Fine-tuning and LoRA)

• Proficiency in building, implementing, and utilizing vector databases 

• Expertise in prompt engineering, RAG, MCP, multi-agent systems, tool use, and post-training.

• Up-to-date with latest technological trends in fields like LLMs and Artificial General Intelligence (AGI)

• Basic domain knowledge of general biology

Soft Skills:

• Able to develop a clear research strategy and vision based on given goals

• Open to collaboration with clear communication skills and values documentation 

• Able to take initiative and problem solve in a  fast-paced work environment

Preferred

• Experience in Zero-shot learning or Supervised Fine-tuning

• Extensive experience in MLOps, LLMOps, or backend development.

• Professional proficiency in Korean and English

• A track record of publishing papers in top-tier AI conferences or journals such as ICLR, ICML, NeurIPS, AAAI, IJCAI, ECCV, ICCV, CVPR, SIGIR, WWW, ACL, EMNLP, KDD.

• Experience winning awards in challenges like Kaggle or Dacon.

• Extensive experience with AWS products like Bedrock, SageMaker, and Lambda.

• Experience in bioinformatics.

※ These qualifications are preferred and are not mandatory requirements.

Benefits and Welfare

Benefits and welfare are provided in accordance with company policy, including but not limited to the following:

• Financial & Insurance: Incentives, stock options, 4 major national insurances.

• In-Office Perks: Snacks and beverages (tea, coffee) provided, conference rooms, laptops, and office supplies provided.

• Work-Life & Culture: 40-hour work week, horizontal culture, no forced team dinners or overtime, casual dress code, free use of annual leave.

• Leave: Annual leave (15 days), Labor Day off, public holidays, maternity/paternity leave 

[Hiring Process] Application Submission > Document Screening > Technical Assesment & CEO Interview (conducted alongside a reference check) > Decision & Offer Letter

• Interviews are conducted in person at GAIA-BT’s Seoul office near Munjeong Station.

• The Technical Assessment includes a 10-minute PPT presentation of your past work experience and projects

• There is a 3-month probationary period upon final acceptance, during which there is no difference in salary or treatment.

• Accepted applicants will be notified by email

Please Note

• This is a rolling recruitment; the position may close without notice once a candidate is hired.

• Only individuals with no restrictions on overseas travel and no disqualifications under the company’s internal regulations for hiring are eligible to apply.

• If you engage in for-profit activities or hold dual employment (work unrelated to company duties) without prior notice at the time of joining, your employment may be canceled.

• If it is discovered that an applicant has been accepted through solicitation or other fraudulent acts, the acceptance and employment will be nullified.

• Applicants may be required to provide supporting documentation for the content of their application or verification by relevant authorities. Any falsification, forgery, or false statements will result in disqualification and employment cancellation.

Location: (05855) 325, 8 Beobwon-ro 8-gil, Songpa-gu, Seoul
                      Within 300 meters of Munjeong Station (Subway Line 8)

Inquiries: For any questions or concerns, please contact Michelle Baek (mbaek@gaia-bt.com)