Principal AI/ML Engineer

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

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