Senior AI Platform Architect — Agentic Systems & RAG Lead

PENNYMAC; Carrollton (TX); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, and Vision

Paid Time Off Programs

Wellness Programs

Retirement benefits and 401k match

Philanthropy Programs

Job summary

A specialty financial services firm in Carrollton, Texas seeks a Principal Applied AI Engineer to architect their cognitive AI platform. The candidate will design and implement advanced AI systems, focusing on orchestration, retrieval-augmented generation, and maintaining AI observability frameworks. With over 8 years of software engineering experience required, familiarity with TypeScript, Node.js, and AWS is essential. This role offers the unique opportunity to innovate within a cloud-native AI stack and make a significant impact on the firm's engineering culture.

Qualifications

• 8+ years of professional software engineering experience.
• Deep expertise in building backend services and AI chains.
• Hands-on experience building applications powered by LLMs.
• Proven track record of building production-grade RAG systems.
• Extensive experience with AWS serverless architecture.

Responsibilities

• Design and implement multi-agent systems for complex tasks.
• Develop orchestration flows using LangChain.ts and AWS services.
• Lead strategy for Retrieval-Augmented Generation (RAG) systems.
• Design and maintain Observability & Fine-Tuning Framework.
• Mentor engineers on AI best practices.

Skills

Elite Engineering Core

TypeScript/Node.js Expert

Applied AI & Agent Experience

RAG Mastery

Cloud Native (AWS)

Systems Thinking

Startup Mentality

Education

Bachelor’s Degree in Computer Science or equivalent

Tools

AWS Bedrock

LangChain

Job description

A specialty financial services firm in Carrollton, Texas seeks a Principal Applied AI Engineer to architect their cognitive AI platform. The candidate will design and implement advanced AI systems, focusing on orchestration, retrieval-augmented generation, and maintaining AI observability frameworks. With over 8 years of software engineering experience required, familiarity with TypeScript, Node.js, and AWS is essential. This role offers the unique opportunity to innovate within a cloud-native AI stack and make a significant impact on the firm's engineering culture.