Work on building scalable multi-modal LLM based AI agents, leveraging frameworks.
Research and build creative solutions to relevant AI problems, including RAG, semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
Tech Stack :
- Python
- Langchain
- Langgraph
- LLM
- RAG
- GEN AI
- Agentic AI
- Natural Language Processing
Key Responsibilities :
- Architect and implement end-to-end RAG pipelines to improve the accuracy and context-awareness of large language model responses for enterprise applications.
- Develop and maintain complex AI agents using Langchain and Langgraph to automate multi-step reasoning tasks and improve operational workflows.
- Optimize Natural Language Processing models to ensure high performance and low latency in production environments.
- Collaborate with engineering teams to integrate Generative AI features into existing software platforms, ensuring seamless user experiences.
- Evaluate and fine-tune LLMs to meet specific domain requirements, ensuring the output aligns with business quality standards and safety guidelines.
📌 Senior AI/ML Engineer (India)
🏢 DAILOQA SOLUTIONS INDIA PRIVATE
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.