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Artificial Intelligence Engineer at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Generative AI, Large Language Models, RAG, Prompt Engineering, LangChain, LangGraph, Python, SQL, Machine Learning, MLOps

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Min Experience: 4 years Location: Remote (India) JobType: full-time We are looking for hands-on Artificial Intelligence Engineers who can design, build, deploy, and own end-to-end AI systems. This role is ideal for practitioners who enjoy shipping production-ready GenAI solutions, working independently, and taking full ownership of AI-driven products. Key Responsibilities 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. Required Skills & Qualifications 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). Core Skills Artificial Intelligence · Generative AI · Large Language Models (LLMs) · RAG · Prompt Engineering · LangChain · LangGraph · LlamaCloud · LangSmith · Python · SQL · Machine Learning · MLOps

Responsibilities

The role involves designing, building, and deploying LLM-powered applications and intelligent document processing systems. The engineer will also optimize workflows and deliver production-grade AI solutions.