Role Overview:
We are seeking a Python AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.
Key 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 (planning, execution, memory) using frameworks such as LangChain or LangGraph
Integrate AI systems with APIs, backend services, and cloud platforms
Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
Key Qualifications:
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
What are the top 3 skills required for this role:
1. Strong programming experience in Python, Javascript.
2. Strong exp with LangGraph, LangChain, RAG architectures, embeddings, and vector databases.
3. Strong exp with AI systems with APIs, backend services, and cloud platforms.
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