Description

You will architect and deliver end-to-end LLM-powered applications and agentic workflows.

This role is on-site.

Responsibilities

• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents with planning, execution, and memory capabilities.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies for accuracy, latency, and cost.

Required Skills

• 5+ years of strong Python expertise with experience building and deploying production-grade backend systems.
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration.
• Proven experience with RAG architectures, embeddings, and vector databases.
• Experience with agentic frameworks such as LangChain, LangGraph, or AutoGen.
• Strong system design skills with experience building and scaling cloud-based applications.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree