AI Engineer – Clinical Intelligence
1 week ago
AI Engineer – Clinical Intelligence & Product )
Location:
Gurgaon, India | Full-Time | HealthTech | Evidence Intelligence
About
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
Subject:
"Application – AI Engineer (Clinical Intelligence & Product)"
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