Weekday (YC W21)

Artificial Intelligence Engineer

Weekday (YC W21)

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

AWSAzureCloudDjangoGoogle Cloud PlatformPythonSQL

About the role

  • Design, build, and deploy LLM-powered applications, including RAG and agentic AI systems.
  • Develop intelligent document processing and document understanding pipelines.
  • Implement and optimize workflows using frameworks such as LangChain, LangGraph, and related orchestration tools.
  • Build and deploy scalable AI services on cloud platforms including AWS, GCP, or Azure.
  • Deliver production-grade AI solutions with a strong focus on performance, reliability, and speed of execution.
  • Continuously evaluate and improve model outputs, prompts, and system architectures.

Requirements

  • Min Experience: 4 years
  • Strong hands-on experience building Generative AI and LLM-based systems.
  • Solid backend development experience using Python and frameworks such as FastAPI or Django.
  • Practical experience with RAG architectures, embeddings, and vector databases.
  • Working knowledge of machine learning fundamentals, MLOps practices, and model evaluation techniques.
  • Ability to work independently, take ownership, and deliver outcomes end to end.
  • Preferred / Nice-to-Have: Experience with tools such as LlamaCloud, LangSmith, or similar GenAI observability platforms.
  • Exposure to prompt engineering, evaluation pipelines, and LLM monitoring.
  • Experience integrating AI systems with structured data sources (SQL, APIs).
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM-powered applicationsGenerative AIPythonFastAPIDjangoRAG architecturesembeddingsvector databasesMLOpsmodel evaluation techniques
Soft Skills
independenceownershipoutcome delivery