Member of Technical Staff – Reasoning Workflows
Latent Labs
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- 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.
Requirements
- 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.
- 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.
Benefits
- Private health insurance
- Pension/401(K) contributions
- Generous leave policies (including gender neutral parental leave)
- Hybrid working
- Travel opportunities and more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAPI designdistributed systems architectureLLM orchestrationRAG systemsvector databasesembedding modelsworkflow orchestrationscientific computing librariesdocument processing
Soft Skills
collaborationcommunicationproblem-solvingresearch backgroundpassion for scientific automation