LLM Engineer

We are looking for an LLM Engineer specializing in Agentic AI. Ideal candidate is a highly skilled Computational Scientist or Biologist with strong engineering expertise. This role involves collaborating with scientists and engineers to develop and deploy data engineering solutions based on LLMs, VLMs, and Agents. The primary goal is to refine our computational tools, thereby accelerating and enhancing BostonGene's clinical and pharmaceutical projects.

Responsibilities

As an LLM Engineer, you will be responsible for advancing our internal platform's artificial intelligence capabilities, focusing on clinical research data. Your key tasks will include:

• AI Development & Deployment: Develop, improve, and deploy cutting-edge AI approaches , such as complex text summarization, timepoint extraction, retrieval/reranking systems, and Retrieval-Augmented Generation (RAGs), on clinical research datasets.

• Model Building & Fine-tuning: Build and fine-tune models, and set up swarms of AI agents using both internal and external data sources. Ensure performance evaluation is rigorous, employing clean code and state-of-the-art machine learning technologies.

• Agentic AI: Design and deploy Agentic AI solutions.

• Collaboration & Communication: Work closely within an international context with Computational Scientists, Data Engineers, Software Engineers, UX Designers, and Research Scientists, particularly those in core scientific platforms focused on protein therapeutics.

• Technical Leadership & Awareness: Maintain a deep understanding of the latest developments in data science, bioinformatics, and the state-of-the-art in AI/ML/DL algorithms and research results.

• Code Contribution & Review: Actively contribute to code repositories by developing new code, conducting peer code reviews, and debugging system issues.

• Data Governance: Ensure that the data used with different AI tools is maintained properly, and is never exposed to an uncompliant tool/toolset.

Qualifications

• Bachelor’s, preferably Master’s or PhD degree in Computer Science, Bioinformatics, Biomedical Engineering, or a related field.

• At least 2 years of experience in NLP, Computational Data Science, or a related field.

• Demonstrated experience with Python-based text analysis.

• Strong analytical and problem-solving skills.

• Good communication skills, both written and verbal, in English or Russian languages.

• Ability to work collaboratively in a multidisciplinary team.

• Attention to detail and a commitment to producing high-quality work.

Technical Skills։

• Proficiency in Python programming language.

• Strong understanding of LLM and agentic AI concepts, including RAGs and BM25.

• Experience with PyTorch, langchain/langgraph. (PyTorch is a main framework used by division).

• Familiarity with text analysis techniques used in biological and medical research.

• Knowledge of machine learning algorithms and their application to data.

• Ability to handle large datasets and perform statistical/basic ML analysis.

• Proficiency in using data visualization tools such as Matplotlib, Seaborn, or similar.

• Experience in external model API integration.

Our offering

Why Join Us?

Join our team at BostonGene, where your work makes a real difference! As a pioneering biotech company with a global footprint, we're passionate about improving lives through groundbreaking oncology personal healthcare. With a team of over 500 dedicated professionals, we foster an empowering environment where your unique skills contribute to a healthier, better world. At BostonGene, you're not just choosing a career; you're stepping into a role that leverages your talents to create a positive change. Discover a workplace that values you as its most precious asset, offering a competitive benefits package designed to enhance your life and those around you.

We offer:

• Full-time position with a permanent contract, flexible working hours, and hybrid work format.

• Relocation package to Yerevan for candidates and their immediate family members, including full support with documentation and bureaucracy (bank accounts, residence permit, school contacts, etc.).

• Competitive salary and comprehensive health insurance.

• Corporate benefits: English language courses, gym plan, and office snacks.

• Convenient office location in Yerevan within a 1-minute walk from the metro.

• Structured onboarding, mentorship, and a supportive professional environment.

• Opportunity to work in a multidisciplinary team of bioinformaticians, biologists, physicians, and software engineers developing cutting-edge precision oncology solutions.