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

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.

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 strong ownership and minimal oversight

Must-have skills

Python, RAG, Generative AI

Good-to-have skills

Artificial Intelligence, LLM, LangChain

📌 AI Engineer (India)
🏢 Weekday (YC W21)
📍 India