This role is for one of our clients

Industry: Technology, Information and Internet

Seniority level: Mid-Senior level

Min Experience: 5+ years
Location: Remote
JobType: full-time

What You'll Do
- Build LLM, RAG, and agentic AI systems from the ground up
- Design and implement document intelligence pipelines
- Work hands-on with LangChain, LangGraph, and LlamaCloud
- Deploy and scale AI services across AWS, GCP, or Azure
- Ship production-ready solutions quickly, without compromising on quality
Requirements

What We're Looking For
- Strong, demonstrable experience in GenAI / LLM-based systems
- Solid backend expertise in Python, with FastAPI or Django
- Hands-on experience with RAG, embeddings, and vector databases
- Exposure to ML, MLOps, and model evaluation practices
- Comfortable working independently,



with solid ownership and minimal oversight
Must-have skills

Python, RAG, Generative AI
Good-to-have skills

Artificial Intelligence, LLM, LangChain

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 AI Engineer (India)
🏢 Weekday`
📍 India