This role is for one of Weekday’s clients
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 strong ownership and minimal oversight
Python, RAG, Generative AI
Good-to-have skillsArtificial Intelligence, LLM, LangChain
Skills Required
- 5+ years experience in GenAI / LLM-based systems
- Python backend development (FastAPI or Django)
- Experience building LLM, RAG, and agentic AI systems
- Hands-on experience with LangChain, LangGraph, and LlamaCloud
- Experience with embeddings and vector databases
- Deploying and scaling AI services on AWS, GCP, or Azure
- Exposure to ML, MLOps, and model evaluation practices
- Ability to work independently with strong ownership and minimal oversight
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
