Senior AI Engineer

Contract W2 (No C2C)

Job Description/ Responsibilities:

Role Overview:
We are seeking a senior 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.