AI Engineer, Agentic Systems

Job overview

The AI Engineer, Agentic Systems role is onsite in Austin, TX. Compensation is not specified. The engineer will build tools and workflows for server validation, working within an established platform and architecture. This hands-on role turns complex technical and operational work into production agent workflows. The engineer designs and operates LLM-powered agents, retrieval systems, APIs, and evaluation processes so teams can automate tasks with observable, reliable services.

What you'll do

• Design and ship LLM-powered agents and multi-agent workflows
• build agent tools using function calling and MCP servers
• develop and operate RAG pipelines
• integrate enterprise data sources
• build Python services and APIs
• instrument production systems
• apply MLOps/LLMOps practices
• create evaluation harnesses
• collaborate with domain experts, data engineers, and product stakeholders.

What we're looking for

Skills & competencies

ai engineer

agentic systems

llm

python

rag

langchain

langgraph

multi-agent workflows

mcp

fastapi

austin tx

yantran llc

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, vision, dental, life, and disability insurance
• paid time off, including holidays, parental leave, and sick leave as required by law.

Why this role

Requires five years of professional software, ML, or data engineering experience, including at least one year building LLM or GenAI applications; strong Python, RAG, orchestration, SQL, Docker, CI/CD, and cloud experience.

About the employer

Yantran LLC is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.