Artificial Intelligence Engineer
- Role
- AI / ML
- Experience
- Mid
- Employment
- Part-time
Open to IN only. Set where you work from to check your eligibility.
No BS summary
Hands-on GenAI / LLM engineer for freelance/consulting work, min 4 years experience. Remote (India) part-time contract; must build LLM, RAG and agentic systems and deploy on AWS/GCP/Azure. Needs backend expertise (Python, FastAPI/Django) and hands-on experience with LangChain, LangGraph, LlamaCloud and vector DBs.
Core skills
Required skills
Optional skills
Artificial Intelligence Engineer India This role is for one of the Weekday's clients Salary range: Rs 1000000 - Rs 10000000 (ie INR 10 - 100 LPA) Min Experience: 4 years Location: Remote (India) JobType: Part-time We are looking for hands-on GenAI freelancers & consultants who can build, ship, and own AI systems . Requirements What You’ll Do Build LLM, RAG & agentic AI systems Design document intelligence pipelines Work with LangChain, LangGraph, LlamaCloud Deploy AI services on AWS / GCP / Azure Deliver production-ready solutions, fast What We’re Looking For Strong experience in GenAI / LLM-based systems Backend expertise ( Python, FastAPI / Django ) Hands-on with RAG, embeddings, vector DBs Exposure to ML, MLOps & model evaluation Comfortable working independently with ownership 📍 Remote 🕒 Freelance / Contract / Consulting Good-to-have skills: LLM Generative AI / GenAI LangChain LangGraph RAG Prompt Engineering LlamaCloud LangSmith Machine Learning Python SQL Posted: 2026-08-12
What you'll do
- Build LLM, RAG & agentic AI systems
- Design document intelligence pipelines
- Work with LangChain, LangGraph, LlamaCloud
- Deploy AI services on AWS / GCP / Azure
- Deliver production-ready solutions, fast
What they require
- Min Experience: 4 years
- Strong experience in GenAI / LLM-based systems
- Backend expertise ( Python, FastAPI / Django )
- Hands-on with RAG, embeddings, vector DBs
- Exposure to ML, MLOps & model evaluation
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