AI Engineer ( Freelancer/Consultant)
Remote India Full-time Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at Weekday AI. Remote, India · full-time.
Pay not stated AI Engineer salary
RoleAI Engineering
SeniorityMid-level
LocationIndia
WorkplaceRemote
EmploymentFull-time
PostedAug 13, 2026 · 2mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM, retrieval-augmented generation and agent-based AI systems from scratch
- Create pipelines that analyze and process documents
- Use LangChain, LangGraph and LlamaCloud in hands-on development
- Deploy AI services on AWS, GCP or Azure, then scale them for production
- Deliver production-ready solutions quickly while maintaining quality
What you bring
- At least five years of experience, with a strong track record building generative AI or LLM systems
- Strong Python backend skills, including experience with FastAPI or Django
- Practical RAG experience spanning embeddings and vector databases
- Exposure to machine learning, MLOps and model evaluation
Who this fits
This suits someone comfortable working independently and taking ownership with little oversight. The role is full-time and remote in India.
From the employer
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
Must-have skills
Python, RAG, Generative AI
Good-to-have skills
Artificial Intelligence, LLM, LangChain