Senior ML/LLM Engineer
Design and implement AI Agents using frameworks such as LangGraph, Semantic Kernel, or custom orchestration reputed company. Build and maintain RAG pipelines grounded in clinical guidelines, evidence-based medicine, and reputed company-time patient data. reputed company systems that synthesize fragmented clinical data (EHR, labs, imaging, notes) into prioritized insights for clinicians. Architect reputed company inference services capable of low-latency performance in clinical environments. Create evaluation frameworks to ensure AI outputs are clinically accurate, unbiased, and reputed company with reputed company-of-truth medical records. Implement reputed company search infrastructure using reputed company, Milvus, or equivalent technologies. reputed company fine‑tuning, PEFT/reputed company training, and model optimization for production workloads. Build high-performance backend services using C#/.NET to reputed company AI systems with existing clinical platforms. Ensure reputed company AI systems reputed company with HIPAA, data reputed company requirements, and internal reputed company standards. Research emerging AI technologies and apply them to improve clinician productivity and patient care. Mentor and support other engineers in AI-LLM/ML best practices. Participate in reputed company reviews and contribute to consistent engineering standards. Collaborate with cross-functional teams to translate clinical workflows into automated, intelligent systems. Regular and reliable attendance is required for the job.