AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London
The Opportunity
We are seeking a highly skilledAI Engineerto lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect and deploy intelligent agents that democratize access to cutting-edge tools in synthetic biology, enabling global researchers to leverage our capabilities through intuitive conversational systems.
About Us
We are an interdisciplinary team developing generative models to advance scientific understanding and discovery. Our team members have previously contributed to major breakthroughs in AI-driven biology, diffusion models, laboratory automation, and large-scale screening technologies. We value curiosity, scientific rigor, and collaboration. With offices in multiple international locations, we support team cohesion through regular offsites and a strong culture of trust and innovation.
We are looking for individuals driven by impact, excited by deep technical challenges, and motivated by the opportunity to shape the future of science and technology.
Who You Are
- Experienced software engineer with expertise in Python, API design, and distributed systems.
- Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms.
- Proficient in intelligent information retrieval, including RAG systems, vector databases, and embedding models.
- Capable of architecting complex, multi-step workflows with tools such as Airflow, Prefect, or Temporal.
- Comfortable working at the intersection of science and engineering, with familiarity in libraries like NumPy, SciPy, and pandas, and experience handling academic literature and data formats.
Bonus Qualifications
- Background in academic research or research software engineering.
- Experience in scientific automation, document parsing, OCR, and data extraction from research papers.
- Familiarity with academic or pharmaceutical research workflows.
- Expertise in natural language processing, particularly for scientific texts and citation networks.
Key Responsibilities
- Develop autonomous agents capable of executing complex scientific workflows through natural language.
- Architect end-to-end systems that integrate platform capabilities with decision-making for advanced scientific tasks.
- Build pipelines for autonomous literature mining, disease pathway identification, and target discovery.
- Create agents that support scientific content generation, including hypothesis design and research writing.
- Develop agents for automating experimental design and orchestrating biological system validation.
- Work closely with scientists to translate research challenges into intelligent automation tools.
- Share and publish innovative applications of agentic workflows in science and technology.
What We Offer
- Competitive compensation and benefits, including:
- Private health insurance
- Retirement contributions
- Inclusive leave policies (e.g. gender-neutral parental leave)
- Flexible hybrid work setup
- Opportunities for travel
- A dynamic work environment and the chance to help define the future of scientific discovery through the application of next-generation AI systems.
We are committed to building a diverse and inclusive team and encourage applicants from all backgrounds to apply.
AI Engineer | Natural Language Processing | Large Language Models | LLM | Python | Pytorch | Hybrid, London
