Pay Range: $50.00hr - $55.00hr
Requirements/Must Have
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.
Strong programming experience in Python and JavaScript.
Strong experience with AI systems with APIs, backend services, and cloud platforms.
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 involving planning, execution, and memory using frameworks such as LangChain or LangGraph.
Integrate AI systems with APIs, backend services, and cloud platforms.
Establish evaluation, reliability, and performance strategies regarding accuracy, latency, and cost.
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).
Strong system design skills with experience building and scaling cloud-based applications.