Senior AI Engineer

Srotas Health is building an AI platform for clinical research. The Senior AI Engineer will build and operate production AI systems for patient identification, clinical trial feasibility, recruitment automation, and clinical-data reasoning.

Responsibilities:

• You will work across the core intelligence layer of Srotas Health: RAG, Agentic RAG, multi-agent systems, clinical data reasoning, large-scale data pipelines, embeddings, vector search, AI orchestration, and production inference
• You will design and build AI systems for patient identification, clinical trial feasibility, recruitment automation, and agentic workflows
• Building RAG and agentic AI systems over structured and unstructured clinical data
• Designing workflows for eligibility reasoning, patient matching, recruitment automation, and recruiter assistance
• Developing large-scale data ingestion and processing pipelines across EHR data, FHIR resources, PDFs, clinical notes, and trial criteria
• Building embedding, indexing, retrieval, reranking, and evaluation pipelines using tools such as Milvus/Zilliz, Elasticsearch, and domain-specific embedding models
• Improving the quality, reliability, latency, and cost-efficiency of AI workflows in production
• Working with open-source and hosted models for extraction, classification, reasoning, summarisation, and patient-trial matching
• Designing evaluation frameworks to measure accuracy, retrieval quality, hallucination rates, and overall system performance
• Helping build infrastructure capable of processing millions of patient records and large volumes of healthcare data
• Improving prompt design, tool usage, orchestration logic, and system robustness