
LLM Engineer (extended)
Global-Talent-Exchange
Required Skills:
Langchain
Langgraph
Llamaindex
Ollama
Hyperparameter Optimization
Fine Tuning
Lora Wan
Vector Databases
Prompt Engineering
Llm's With Rag
Mcp Agent Development
Multi-agent Systems
Multimodal Llms
LLM-based applications
LangChain
LangGraph
LlamaIndex
Ollama
Hyperparameter Optimization
Fine-tuning
LoRA
vector databases
prompt engineering
RAG
MCP
multi-agent systems
tool use
post-training
LLMs
Artificial General Intelligence
general biology
Overview
Our mission is to automate the high-cost, low-efficiency bio R&D process by creating cutting-edge AI agents.
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 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!
Role Description
As a LLM Engineer, 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 our technology through these agents to deliver new value.
R&D Focus: Bio Materials
- Enhanced User Experience via Multi-modal Active Learning: Analyzes user data based on the various structured and unstructured data predicted by AI functions, and provides insights that can reduce researchers' experimental trial-and-error.
- Multi-platform Closed-loop Optimization: Mediates AI and “external environment” to optimize the iterative “predict-synthesize-analyze” loop.
- 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.
Qualifications
Education:
- Bachelor's in Artificial Intelligence, Computer Science, Computational Science, Computer Engineering, or a related field.
Experience & Hard Skills:
- Experience designing, building, and deploying LLM-based applications.
- Proficiency in latest LLM-centric development frameworks.
- Proficiency in model optimization.
- Expertise in prompt engineering, RAG, MCP, multi-agent systems, tool use, and post-training.
- 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
- Ph.D. or expected graduate in related field.
- 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.
- 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 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 Assessment & CEO Interview > Decision & Offer Letter
- Interviews are conducted in person at the headquarters.
- 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 internal regulations for hiring are eligible to apply.
- If you engage in for-profit activities or hold dual employment 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.
About Company

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