Senior AI Engineer: LLM-Driven, Scalable AI Systems

Ryan LLC; Inwood (TX); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Generous PTO

14 weeks paid parental leave

Gym reimbursement

Benefits from Day One

401K with match

Tuition reimbursement (after 1 year)

Fertility assistance

Sabbatical eligibility after 5 years

Job summary

Ryan LLC is seeking a Senior Engineer to design, develop, and deliver robust AI-driven software systems. You will own complex components, lead critical feature implementation, and drive engineering best practices within your squad.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, safety, and performance constraints. This role demands hands-on engineering and a strong sense of ownership.

Qualifications

• 6–9 years of software engineering experience in production-grade systems.
• Experience shipping AI/LLM-powered features (agents/agentic-frameworks, RAG, tool-calling, workflow automation).
• Proficiency in at least one modern full-stack, data-stores (SQL/NoSQL), Redis, Containerization, Kubernetes, Azure Cloud-Native Services.

Responsibilities

• Translate requirements into agentic workflows and production-ready full-stack components (APIs, services, UIs).
• Lead design reviews, ensure performance, scalability, and maintainability.
• Collaborate with cross-functional teams and contribute to architectural discussions.

Tools

LangChain

LangGraph

OpenAI Agents SDK

Microsoft Semantic Kernel

Microsoft AutoGen

CrewAI

ReactJS

.NET

Azure

Docker

Kubernetes

SQL/NoSQL

Redis

Job description

Ryan LLC is seeking a Senior Engineer to design, develop, and deliver robust AI-driven software systems. You will own complex components, lead critical feature implementation, and drive engineering best practices within your squad.

You will collaborate with cross-functional teams, contribute to architectural discussions, and ensure that AI solutions align with user needs, safety, and performance constraints. This role demands hands-on engineering and a strong sense of ownership.