Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a member of our newly formed LLM Engineering team, you will architect, implement, and own the systems that bring LLMs into the heart of our scientific and business processes. You will apply first-principles thinking and design to build robust, secure, and scalable infrastructure for generative AI, even when there's no pre-existing blueprint. You will use your understanding of the internal mechanics of these models and the ecosystem around them to drive your technical decisions. You will balance user experience and solutions engineering with high-performance platform engineering, to ensure our AI tools are scalable and reliable. This is an exciting opportunity to contribute to putting LLMs at the center of scientific discovery at scale!

Responsibilities

Architect LLM-integrated systems by incorporating scalability, security, and user experience considerations from the earliest stages of development.
Enable telemetry, observability, governance, and cost management. Build platform components and tools for routing and making optimal use of various models.
Implement advanced context management, tool-use (MCP), skill tooling, and RAG to enhance research workflows and help scale our agentic infrastructure.
Build rigorous testing for probabilistic systems to ensure model reliability and safety. Build and maintain evals for different tasks.
Develop the internal frameworks and IDE integrations to leverage agentic coding and agentic workflows at scale. Contribute to shaping best practices and providing a great user experience.
Support fine-tuning and RL efforts in collaboration with AI researchers to optimize models for complex biological and chemical data.
Partner with researchers to translate scientific needs into technical AI specifications.
Partner with other parts of the business to unlock LLM-based use-cases.

Requirements

Strong coding skills (Python) with a focus on production-grade, maintainable systems.
Ability to architect and maintain (IaC) complex systems across multiple verticals (Security, UX, and Scalability) in the cloud.
Deep understanding of how models are trained, how they work internally, and their inherent limitations.
Experience with the LLM serving stack (e.g. vLLM) for open weight models for bringing the latest models to internal users.
Experience evaluating probabilistic ML systems and managing model "tool use", contexts and loops.
A hype-detached approach to solving problems and selecting the right tech stack.
Excellent stakeholder management and the ability to explain technical risks to non-experts.
Prior success building and scaling systems centered around Large Language Models.
Experience setting up the underlying hardware or orchestration for ML systems.
Prior experience building and deploying systems on Google Cloud (GCP).
Interest or experience in biology, chemistry, or drug discovery; an interest in applying AI to scientific discovery.
Familiarity with the latest in agentic tooling and developer frameworks.

Skills

Python
Production-grade systems
Maintainable systems
Infrastructure as Code (IaC)
Cloud systems
LLM serving stack
vLLM
Open weight models
ML systems evaluation
Model tool use
Context management
Agentic workflows
Agentic tooling
Google Cloud (GCP)
AI
Machine Learning

Location

Hybrid

Work Type

Hybrid

Experience Level

Mid-level
Senior

About the Company

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
Our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.
Our name comes from the belief that there is an underlying symmetry between biology and information science.
By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.
We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities.
We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.
Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Equal Opportunity

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.