We are looking for an experienced AI / LLM Scientist to design, develop, and deploy advanced Generative AI and Large Language Model (LLM) solutions for enterprise-scale healthcare and life sciences applications.
The ideal candidate should possess deep expertise in NLP, LLM fine-tuning, prompt engineering, Agentic AI frameworks, and scalable AI solution development.
Key Responsibilities
- Design, build, and optimize Generative AI and LLM-based applications for healthcare and life sciences use cases.
- Fine-tune, evaluate, and deploy Large Language Models (LLMs) using enterprise datasets.
- Develop and implement NLP pipelines for text processing, summarization, semantic search, and conversational AI systems.
- Build and orchestrate Agentic AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar technologies.
- Perform prompt engineering, prompt optimization, and response evaluation for high-quality AI outputs.
- Work on Retrieval-Augmented Generation (RAG) architectures and vector database integrations.
- Collaborate with cross-functional teams including Data Engineering, Product, and Business stakeholders to deliver scalable AI solutions.
- Develop APIs, microservices, and AI integrations using Python and Java.
- Work with structured and unstructured data using SQL and modern database technologies.
- Conduct model experimentation, performance optimization, and AI solution validation.
- Stay updated with the latest advancements in Generative AI, Agentic AI, LLMOps, and foundation models.
Required Skills
- 10+ years of overall IT experience with strong AI/ML exposure.
- Strong experience in Natural Language Processing (NLP) and Generative AI technologies.
- Hands-on expertise in Fine-Tuning LLMs and Prompt Engineering.
- Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent.
- Strong programming skills in Python and Java.
- Good understanding of SQL and database concepts.
- Experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc.
- Knowledge of RAG pipelines, vector databases, embeddings, and semantic search.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Strong analytical, communication, and problem-solving skills.
Preferred Qualifications
- Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- Experience working in Healthcare, Pharma, Life Sciences, or Clinical domains is highly preferred.
- Familiarity with Azure OpenAI, Databricks, Neo4j, ChromaDB, Pinecone, or similar tools is an added advantage.
- Experience in scalable AI deployment and MLOps practices is preferred.
(ref:hirist.tech)
