At a Glance
- Tasks: Lead the development of autonomous systems for complex scientific tasks through natural language.
- Company: Join Latent Labs, pioneers in generative AI and synthetic biology.
- Benefits: Competitive pay, private health insurance, generous leave, and hybrid working options.
- Other info: Collaborate with top minds and enjoy a dynamic, inclusive work culture.
- Why this job: Shape the future of science with cutting-edge technology and innovative workflows.
- Qualifications: Strong software engineering skills in Python and experience with LLM orchestration.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a highly skilled Member of Technical Staff to lead the development of cutting‑edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.
Who we are: At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co‑developed DeepMind's Nobel‑prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.
Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands‑on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval‑Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi‑step autonomous processes. You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.
What Sets You Apart: You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience. You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats. You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes. You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.
Your Responsibilities: Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design. Architect end‑to‑end reasoning systems that integrate our platform capabilities with intelligent decision‑making, enabling users to accomplish sophisticated tasks through simple chat interfaces. Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets. Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research‑grade articles and blog posts. Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein‑based logic gates) and orchestrate their validation. Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions. Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.
Apply: We offer strongly competitive compensation and benefits packages, including: Private health insurance, Pension/401(K) contributions, Generous leave policies (including gender neutral parental leave), Hybrid working, Travel opportunities and more. We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Staff AI Engineer - Autonomous Reasoning Workflows employer: Latent Labs
At Latent Labs, we pride ourselves on being an exceptional employer, offering a stimulating work environment where innovation thrives. Our commitment to scientific excellence and interdisciplinary collaboration fosters continuous learning and growth opportunities for our team members. With competitive compensation, generous leave policies, and a culture that values diverse perspectives, we empower our employees to make a meaningful impact in the field of synthetic biology while enjoying the benefits of hybrid working and travel opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer - Autonomous Reasoning Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and workflows. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to autonomous systems. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission.
We think you need these skills to ace Staff AI Engineer - Autonomous Reasoning Workflows
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, API design, and distributed systems in your application. We want to see how your skills align with the role of building autonomous systems and workflows.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect your understanding of scientific automation and your experience with LLM orchestration. This will help us see how you fit into our moonshot mission.
Be Clear and Concise:When writing your cover letter, be clear about your motivations for applying and how your background makes you a great fit. We appreciate straightforward communication that gets to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Latent Labs!
How to prepare for a job interview at Latent Labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, API design, and distributed systems architecture. Brush up on your experience with LLM orchestration and frameworks like LangChain or LlamaIndex. Be ready to discuss specific projects where you've applied these skills.
✨Showcase Your Research Background
Since the role values a research background, prepare to talk about your academic experiences and how they translate into industry roles. Highlight any work you've done with scientific automation or document processing, as this will resonate well with the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to architect complex workflows and solve real-world problems. Think of examples where you've built custom pipeline systems or tackled challenges in scientific computing. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Demonstrate Your Passion for Innovation
Latent Labs is looking for innovators, so convey your enthusiasm for tackling complex challenges in synthetic biology. Share your thoughts on the future of AI in research and how you envision contributing to their moonshot mission. This will help you stand out as a candidate who aligns with their ambitious goals.
