PythonLooking for Lead Generative AI Engineer / AI Engineer (Remote), India.
Experience:Lead AI Engineer : 8+ Years
AI Engineer : 3+ Years
Location: Remote
Industry: HealthTech
The Opportunity
We are seeking a seasoned Lead Engg. / Generative AI Engineer to join our mission of unlocking the value of clinical data to improve patient outcomes in emerging markets. Our platform bridges the gap between complex health data and life-saving precision medicine. In this role, you will build the intelligent layer that transforms unstructured, multi-modal clinical data into actionable insights for healthcare providers, pharmaceutical partners, and financial stakeholders.
Core Responsibilities
- Architect GenAI Solutions: Design and deploy scalable Generative AI systems, specifically focusing on RAG (Retrieval-Augmented Generation) architectures to query complex clinical datasets.
- Clinical NLP & Data Structuring: Develop LLM-based pipelines to extract, normalize, and structure data from messy, unstructured medical records and electronic health records (EHR).
- Model Optimization: Fine-tune open-source and proprietary LLMs for medical domain specificity, ensuring high precision, reduced hallucination, and clinical relevance.
- Agentic Workflows: Build AI agents capable of navigating complex healthcare workflows, from patient eligibility screening to longitudinal data analysis.
- Production-Grade Deployment: Collaborate with data engineers to integrate AI models into a robust production environment, ensuring security, data privacy (HIPAA/GDPR compliance), and low-latency performance.
- Leadership & Innovation: Act as a technical subject matter expert, staying ahead of the curve in LLM research and applying "state-of-the-art" techniques to real-world healthcare challenges.
Required Qualifications
- 8+ years of total experience in Software Engineering, Machine Learning, or Data Science.
- Deep GenAI Expertise: Proven track record of building and deploying LLM-powered applications (using frameworks like LangChain, LlamaIndex, or Haystack).
- Strong NLP Background: Significant experience with Natural Language Processing, especially in entity extraction and semantic search.
- Technical Stack: * Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
- Experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus).
- Familiarity with cloud infrastructure (AWS/Azure/GCP) and MLOps practices.
- Data Savvy: Experience working with complex, high-dimensional datasets.
- Education: Master’s or PhD in Computer Science, AI, Mathematics, or a related field (or equivalent deep industry experience).
Preferred Attributes
- Healthcare Experience: Prior experience with clinical data, medical coding (ICD-10, SNOMED), or HealthTech platforms.
- Mission-Driven: A passion for using technology to solve healthcare disparities and improve access to precision medicine.
- Adaptability: Comfortable in a fast-paced, remote-first environment where cross-functional collaboration is key.
To process your resume for the next process, please fill out the Google form with your updated resume.
Details: https://forms.gle/6SytBXC98kkhFNMJA
Shubham Vishwakarma
Full Stack Developer - Averlon
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• Coordinate across internal teams and external stakeholders
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Edit job description
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Collaborate with the marketing team and copywriters to understand the exact requirements and
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Be a great team player and coordinate with other design teams to seek and provide design assistance.
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• Excellent visual design skills in both static and basic motion graphics.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon