AI Developer

sproutsai

Bengalor 2 Years Exp Posted 1h ago

Develop and deploy Generative AI applications using LLMs such as GPT, Claude, Gemini, or open-source models.
Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
Design and optimize prompts, prompt templates, and LLM workflows.
Work with Python and AI/ML frameworks to develop scalable solutions.
Integrate LLM APIs with existing applications and backend services.
Work with vector databases such as Pinecone, FAISS, Chroma, or Milvus.
Develop AI agents, chatbots, document intelligence, and other GenAI use cases.
Evaluate LLM performance, accuracy, latency, and cost.
Implement techniques such as fine-tuning, embeddings, function calling, and structured outputs where required.
Collaborate with product, engineering, and business teams to convert requirements into AI solutions.
- Deploy and monitor GenAI applications in cloud environments such as AWS, Azure, or GCP.