Description

Design and build production-grade LLM-powered applications and agentic systems.

This role is on-site.

Responsibilities

• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents using frameworks such as LangChain.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies for AI services.

Required Skills

• 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 (e.g., LangChain, LangGraph, AutoGen).
• Proficiency with FastAPI and Microservices.
• Strong system design skills with experience building and scaling cloud-based applications.
• Bachelor's degree in Computer Science or related field.
• 5+ years of professional software engineering experience.

Key Skills

Education

Bachelor's degree