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Software Engineer (LLM Engineering), London
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Isomorphic Labs·London·4 авг.

Software Engineer (LLM Engineering), London

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Наша компания

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, 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.

О роли

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’ll need to 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’ll need to use your understanding of the internal mechanics of these models and the ecosystem around them to drive your technical decisions. You’ll 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!

Чем предстоит заниматься

As a member of the LLM Engineering team, you will work on a subset of the following
System Architecture: Architect LLM-integrated systems by incorporating scalability, security, and user experience considerations from the earliest stages of development
Operational Excellence: Enable telemetry, observability, governance and cost management. Build platform components and tools for routing and making optimal use of various models
LLM & Agentic Infrastructure: Implement advanced context management, tool-use (MCP), skill tooling, and RAG to enhance research workflows and help scale our agentic infrastructure
Evaluation Frameworks: Build rigorous testing for probabilistic systems to ensure model reliability and safety. Build and maintain evals for different tasks
Agentic Tooling: 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
Refinement & Training: Support fine-tuning and RL efforts in collaboration with AI researchers to optimise models for complex biological and chemical data
Strategic Collaboration and Solutioning: Partner with researchers to translate scientific needs into technical AI specifications. Partner with other parts of the business to unlock LLM-based use-cases
Skills and qualifications

Наши требования

Applied LLM Experience: Prior success building and scaling systems centered around Large Language Models
ML Infrastructure: Experience setting up the underlying hardware or orchestration for ML systems
GCP: Prior experience building and deploying systems on Google Cloud (GCP)
Scientific Domain: Interest or experience in biology, chemistry, or drug discovery; an interest in applying AI to scientific discovery
Fast-Moving Tooling: Familiarity with the latest in agentic tooling and developer frameworks
Culture and values
We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it
Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day
Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less
Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we
Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere
Creating an extraordinary company
We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact
Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call
>> Click to view other open roles at Isomorphic Labs
Software Engineering: Strong coding skills (Python) with a focus on production-grade, maintainable systems
System Design: Ability to architect and maintain (IaC) complex systems across multiple verticals (Security, UX, and Scalability) in the cloud
LLM Internals: Deep understanding of how models are trained, how they work internally, and their inherent limitations
LLM Serving stack: Experience with the LLM serving stack (e.g. vLLM) for open weight models for bringing the latest models to internal users
ML Literacy: Experience evaluating probabilistic ML systems and managing model "tool use", contexts and loops
First-Principles Thinking: A hype-detached approach to solving problems and selecting the right tech stack
Communication: Excellent stakeholder management and the ability to explain technical risks to non-experts
I
Isomorphic Labs
London

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РегионВеликобритания
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Опубликовано4 авг.
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