Back
Mid-level LLM/AI developer in Bangalore with generalist backend+AI requirements creates high applicant competition.
Core LLM and Python engineering skills transfer across industries, though healthcare RCM experience adds domain specificity.
Requires 3+ years plus mandatory LLM, vector DB, and LangChain experience, making filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop Python-based AI applications leveraging LLMs and Retrieval-Augmented Generation (RAG) for enterprise solutions.
Build and deploy custom LLM pipelines, including data preprocessing, model fine-tuning, inference, and agentic AI workflows using frameworks like LangChain, LlamaIndex, or Haystack.
Collaborate with ML and data teams on cloud deployment, scalability, model monitoring, and develop APIs/microservices for AI features.
Minimum 3+ years of Python development experience focused on backend or AI systems.
Proficient in REST API design, asynchronous frameworks such as FastAPI or Flask, and modular software architecture.
Experience integrating LLMs using OpenAI, HuggingFace Transformers, or Anthropic SDKs and working with vector databases like Pinecone, FAISS, Weaviate, or Qdrant.
Location: Bengaluru, India (onsite).
Experience creating retrieval and agentic AI applications using orchestration frameworks such as LangChain or LlamaIndex.
Proven ability to implement prompt engineering techniques and build robust production-grade AI solutions with cloud ML endpoints.
Familiarity with multi-agent AI systems, fine-tuning LLMs (LoRA, QLoRA), AI observability tools, and healthcare or Revenue Cycle Management domain is a strong plus.