AI Engineer – Clinical Intelligence

AI Engineer – Clinical Intelligence & Product (OneRx.ai) 📍 Location: Gurgaon, India | 💼 Full-Time | 🤖 HealthTech | 🧠 Evidence Intelligence About OneRx.ai OneRx.ai is India’s first Evidence Intelligence Platform for Doctors, built on trusted medical sources like ICMR, NEJM, Cochrane, and PubMed — powered by a medical-grade large language model (LLM). We’re building the AI infrastructure of clinical evidence, helping doctors make faster, smarter, and data-backed decisions in real time. Role Overview We’re seeking an AI Engineer with experience in healthcare or life sciences — ideally someone who has previously built or contributed to diagnostic AI or open evidence platforms for doctors. You’ll work at the intersection of AI, clinical data, and product design, creating intelligent systems that understand and generate medical-grade insights for clinicians. You’ll collaborate with doctors, pharmacologists, and product managers to bring real-world clinical reasoning into AI. Key Responsibilities - AI Model Development: - Build, fine-tune, and optimize LLM-based and retrieval-augmented systems for clinical question answering, diagnosis reasoning, and evidence summarization. - Knowledge Engineering: - Design ontology and pipelines to integrate structured (guidelines, trials) and unstructured (research papers, case summaries) data. - Clinical Data Integration: - Translate diagnostic workflows, treatment pathways, and clinical protocols into structured product logic. - Prompt & Context Engineering: - Develop robust prompt frameworks for oncology, pharmacology, and diagnostics, ensuring clinical accuracy and reproducibility. - Evidence Validation Layer: - Build confidence-scoring and source-tracking systems to cite ICMR, NEJM, Cochrane, and PubMed references for every output. - Product Collaboration: - Work with medical experts and UX teams to design evidence-driven interfaces that doctors trust and enjoy using. - Deployment & Optimization: - Implement scalable AI pipelines (Azure OpenAI stack, LangChain, vector DBs) for low-latency inference and retrieval. Who You Are - Education: B.Tech / M.Tech in Computer Science, AI/ML, or related field - Experience: 2–6 years in applied AI / NLP, preferably in healthcare, diagnostics, or evidence systems - Core Skills: - LLM integration (GPT, Claude, Mistral, MedPaLM, etc.) - RAG pipeline design using LangChain / LlamaIndex / Haystack - NLP frameworks (Hugging Face, PyTorch, TensorFlow) - Experience handling medical text (PubMed, EHR, clinical notes, guidelines) - Knowledge of ontologies (UMLS, SNOMED CT, ICD-10, RxNorm) - API integration with Azure OpenAI / Hugging Face / PubMed APIs - Bonus: Experience in building diagnostic AI or open-evidence platforms for clinicians - Mindset: - Passionate about evidence-based medicine and trustworthy AI - Obsessed with accuracy, explainability, and real-world usability - Thrives in interdisciplinary teams with doctors and product designers Why Join Us - Build India’s first medical-grade evidence AI used by doctors daily - Collaborate with top oncologists, pharmacologists, and data scientists - Shape how AI will power the next generation of clinical decision support - Competitive compensation, ESOP potential, and rapid growth opportunities Apply Now 📧 Vivek.Slaria@oneorg.ai 📱 +91 98190 48886 🌐 www.onerx.ai Subject: “Application – AI Engineer (Clinical Intelligence & Product)”