Artificial Intelligence Engineer

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.

Requirements:
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