Job description :

MMC Applied AI Engineer (Prompt Engineering & LLM Applications) Healthcare Domain

Job Title : Applied AI Engineer Prompt Engineering & LLM Applications

Experience : 5-8 Years

Location : Bangalore

Domain : Healthcare / HealthTech

Employment Type : Full-Time

Job Summary :

We are looking for an experienced Applied AI Engineer with strong expertise in Prompt Engineering, Generative AI, and LLM-based application development for healthcare use cases. The ideal candidate should have hands-on experience building AI-powered solutions using leading LLM platforms, orchestration frameworks, NLP pipelines, and vector databases for intelligent document processing and healthcare workflows.

Key Responsibilities :

- Design, develop, and optimize prompt engineering strategies for healthcare AI applications.

- Build and deploy LLM-powered solutions using models from OpenAI, Anthropic, or similar platforms.

- Develop scalable AI applications leveraging LangChain, LlamaIndex, RAG architectures, and agentic workflows.

- Process and analyze structured and unstructured healthcare data including clinical documents, prescriptions, medical records, and patient interactions.

- Implement document intelligence workflows using NLP, embeddings, semantic search, and vector databases.

- Design and manage vector search pipelines using FAISS, Pinecone, ChromaDB, or similar technologies.

- Work closely with product, clinical, and engineering teams to identify AI use cases and deliver production-grade solutions.

- Fine-tune prompts and optimize model responses for accuracy, hallucination reduction, compliance, and performance.

- Develop APIs and backend services for AI integrations and healthcare automation.

- Ensure security, scalability, and compliance standards in healthcare AI implementations.

Required Skills :

- Strong experience in Prompt Engineering and LLM-based application development.

- Hands-on experience with OpenAI, Anthropic, Claude, GPT, or similar LLM APIs.

- Experience with orchestration frameworks such as LangChain and LlamaIndex.

- Strong Python programming skills with Pandas, NumPy, and data processing libraries.

- Experience in NLP, unstructured data processing, and intelligent document extraction.

- Knowledge of embeddings, semantic search, and Retrieval-Augmented Generation (RAG).

- Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.

- Experience developing REST APIs and integrating AI services into applications.

- Good understanding of AI model evaluation, prompt optimization, and response quality improvement.

Preferred Qualifications :

- Experience working in Healthcare, HealthTech, Clinical AI, or Medical Document Processing domains.

- Familiarity with HIPAA/compliance-aware AI systems.

- Experience with OCR tools, document parsing, and medical NLP workflows.

- Exposure to cloud platforms such as AWS, Azure, or GCP.

- Knowledge of MLOps, model deployment, and monitoring is a plus.

Education : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Nice to Have :

- Experience with multi-agent AI systems.

- Exposure to fine-tuning/open-source LLMs.

- Knowledge of healthcare interoperability standards such as HL7/FHIR.

- Experience with LangGraph, AutoGen, or CrewAI frameworks.