Senior AI Engineer

Required Skill and Experience


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.
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
Integrate AI systems with APIs, backend services, and cloud platforms
Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

Preferred Skill and Experience


Python expertise with experience building and deploying production-grade backend systems
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)
System design skills with experience building and scaling cloud-based applications

Additional Required Qualifications
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.