Srotas Health

Job Title: Principal AI/ML Engineer Location: Remote Company: Srotas Health Type: Full-Time ???About Srotas Health Srotas Health is an AI-driven healthcare company transforming oncology research and clinical care Our flagship platform, SrotasIQ, leverages proprietary LLMs and real-time data integration to accelerate clinical trial recruitment, automate patient pre-screening, and support clinical decision-making ??? Role Summary We are seeking a Principal AI/ML Engineer to join our core product team You will lead the architecture and development of advanced AI solutions across our platform with a special focus on patient-trial matching, real-time data ingestion, and LLM-based reasoning This is a hands-on technical leadership role with scope for influencing product direction, mentoring team members, and owning critical AI components end-to-end ???? Key Responsibilities Design, develop, and deploy robust AI/ML models for patient-trial matching, clinical summarisation, and eligibility scoring Own the architecture and scaling strategy of Srotass AI infrastructure (including LLMs, vector DBs, embeddings, and data pipelines) Lead core model experimentation (LLMs, RAG pipelines, transformer-based models, etc) and benchmarking (speed, accuracy, explainability) Collaborate with product and clinical teams to translate real-world healthcare challenges into scalable ML solutions Manage and mentor junior engineers and researchers across AI, ML Ops, and data science functions Oversee responsible AI practices including bias mitigation, model auditing, and regulatory readiness (HIPAA, GDPR) Continuously evaluate the latest research in NLP, graph learning, multimodal AI, and incorporate relevant breakthroughs into our stack ???Requirements Must-Haves: 6+ years of hands-on experience in ML/AI engineering (including production-level deployments) Deep expertise in NLP (LLMs, transformers, embeddings, RAG) Strong software engineering background (Python, TensorFlow/PyTorch, FastAPI) Experience with modern ML infra: vector databases (e-g , Milvus, Weaviate), model orchestration, and cloud ML pipelines (Azure/AWS/GCP) Proven ability to lead and deliver technical projects with ambiguity and high ownership Exposure to healthcare, clinical trials, or biomedical data (or strong interest in learning domain-specific constraints) Nice-to-Haves: Experience with FHIR, clinical ontologies (SNOMED-CT, ICD-10), or EHR data structuring Experience fine-tuning or distilling LLMs or working with OSS models (Mistral, LLaMA, GPT-NeoX) Published work or contributions to open-source AI/ML frameworks ???What We Offer Be part of the founding tech team building a cutting-edge AI platform in healthcare Competitive salary with equity options Flexible remote working policy Opportunity to shape product direction, publish applied work, and influence real-world healthcare delivery