Senior AI Engineer - Production Healthcare AI

Srotas Health; United Kingdom; On-site; GBP 110,000 - 150,000; Full time

Benefits offered by this job

Equity options

Job summary

Srotas Health is building an Agentic AI platform to transform clinical research workflows in the UK. We design AI that reads and reasons over messy healthcare data, including EHRs, PDFs, notes, and trial criteria, delivering scalable, reliable systems used by clinicians and researchers.

You will lead end-to-end development of AI systems for patient identification, trial feasibility, recruitment automation, and agentic workflows, in a startup environment that values ownership and pragmatic

Qualifications

• Strong hands-on experience building production AI applications using LLMs, RAG, or agents.
• Experience shipping production-grade AI systems, not just prototypes.
• Strong Python/Node.js software engineering skills.
• Experience with large-scale data processing and ETL/ELT pipelines.
• Experience with vector databases and search/indexing.
• Understanding prompt design and multi-step AI workflows.
• Ability to handle messy real-world healthcare data end-to-end.

Responsibilities

• Design and build AI systems for patient identification and clinical trial feasibility.
• Develop recruitment automation and agentic workflows.
• Build scalable data ingestion pipelines across EHR data, PDFs, notes, and trial criteria.
• Develop embedding, retrieval, and ranking pipelines using Milvus and Elasticsearch.
• Improve reliability, latency, and cost-efficiency of AI production workflows.
• Collaborate with open-source and hosted models for extraction, classification, and matching.

Skills

LLMs & RAG

Agentic AI

Python

Data pipelines

Vector databases

System design

Production reliability

Tools

Milvus/Zilliz

Elasticsearch

NLP tooling

Job description

Srotas Health is building an Agentic AI platform to transform clinical research workflows in the UK. We design AI that reads and reasons over messy healthcare data, including EHRs, PDFs, notes, and trial criteria, delivering scalable, reliable systems used by clinicians and researchers.

You will lead end-to-end development of AI systems for patient identification, trial feasibility, recruitment automation, and agentic workflows, in a startup environment that values ownership and pragmatic