Senior AI Engineer: LLM Agents, RAG & Orchestration

Confidential; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Confidential in Austin, Texas, USA seeks an experienced AI/ML software engineer to design and deploy LLM-powered agents and RAG pipelines for on-site product teams.

You will collaborate across disciplines to implement tool-calling workflows, multi-agent architectures, and scalable Python services using FastAPI, Docker, and cloud platforms. Strong communication and problem-solving are essential.

Qualifications

• 5–10 years of professional experience.
• 5+ years in software engineering, ML, or data engineering.
• Minimum 1 year building LLM-based or Generative AI applications.
• Strong hands-on Python, LLMs, RAG, and AI systems experience.
• Experience developing LLM-powered agents and multi-agent workflows.
• Strong SQL and Azure databases knowledge; CI/CD experience.

Responsibilities

• Design, develop, and deploy LLM-powered agents with planning and tool-calling.
• Build and optimize RAG pipelines with embeddings and vector search.
• Develop backend Python services and APIs using FastAPI or equivalent.
• Containerize applications with Docker and deploy via CI/CD pipelines.
• Collaborate with teams to integrate AI workflows into enterprise systems.

Skills

Python

LLMs

Agent orchestration

RAG

SQL

Azure

APIs

FastAPI

Docker

Testing

Communication

Education

Bachelor's or Master's in CS/Eng/AI

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

FAISS

Pinecone

Chroma

PyTorch

TensorFlow

Job description

Confidential in Austin, Texas, USA seeks an experienced AI/ML software engineer to design and deploy LLM-powered agents and RAG pipelines for on-site product teams.

You will collaborate across disciplines to implement tool-calling workflows, multi-agent architectures, and scalable Python services using FastAPI, Docker, and cloud platforms. Strong communication and problem-solving are essential.