Principal Engineer AI jobs in United States
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PENNYMAC · 1 day ago

Principal Engineer AI

Pennymac is a specialty financial services firm focused on mortgage production and servicing. They are seeking a Principal Applied AI Engineer to lead the architecture of their AI platform, designing autonomous workflows and engineering advanced AI systems to improve software delivery processes.

BankingFinanceFinancial ServicesLendingMortgage
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H1B Sponsor Likelynote
Hiring Manager
Chiji O.
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Responsibilities

Architect Agentic Workflows
Design and implement sophisticated multi-agent systems that can plan, execute, and self-correct complex tasks (e.g., automated code reviews, test plan generation, and epic decomposition)
Develop robust orchestration flows using LangChain.ts and AWS Bedrock AgentCore, defining how agents hand off tasks to one another and when to loop in humans for review
Engineer "hallucination checkpoints" and validation logic to ensure AI outputs are accurate, secure, and deterministic where necessary
Implement the Model Context Protocol (MCP) to standardize how our agents interface with internal tools like Jira, GitLab, and AWS infrastructure
Build the Unified Context Library (RAG)
Lead the strategy for our Retrieval-Augmented Generation (RAG) foundation. You will design the pipelines that ingest, chunk, and vectorize institutional knowledge from Confluence, Jira, and GitLab
Optimize Vector Database performance (e.g., Pinecone, Weaviate) and implement advanced retrieval strategies (hybrid search, re-ranking) to ensure agents possess the precise, domain-specific context needed for mortgage-tech tasks
Implement "memory" systems (Short-term and Long-term) that allow agents to retain context across long-running sessions and provide personalized assistance to users
AI System Engineering & Observability
Design and maintain the Observability & Fine-Tuning Framework, ensuring we capture every token, prompt, and user feedback signal (thumbs up/down) to systematically improve agent performance over time
Define and enforce Prompt Engineering best practices, creating a reusable library of system prompts that govern agent persona, tone, and output formatting
Build automated Evaluation Pipelines (using tools like LangSmith or custom harnesses) to benchmark agent performance against "Golden Datasets" and prevent regression
Technical Leadership
Serve as the subject matter expert on Generative AI for the Platform Services division, staying ahead of the curve on LLM capabilities, cost optimization, and model selection (e.g., routing tasks between Claude 3.5 Sonnet, GPT-4o, and smaller, faster models)
Mentor fellow engineers on the paradigm shift from deterministic coding to probabilistic AI engineering
Drive the adoption of AI best practices across the wider organization

Qualification

Applied AITypeScript/Node.jsRAG SystemsAWS Cloud NativeSystems ThinkingStartup MentalityEvaluation FrameworksModel Context ProtocolGraph DatabasesTechnical Leadership

Required

Bachelor's Degree in Computer Science or equivalent
8+ years of professional software engineering experience
Deep expertise in building backend services and AI chains in Node.js and TypeScript
Hands-on experience building applications powered by LLMs
Proven track record of building production-grade RAG systems
Extensive experience with AWS serverless architecture (Lambda, API Gateway, DynamoDB)
Ability to design complex, asynchronous systems where state is fluid and outcomes are probabilistic
High ownership, high energy, and the ability to thrive in a fast-paced 'internal startup' environment

Preferred

Experience with Evaluation Frameworks (e.g., LangSmith, Ragas) for automated testing of LLM outputs
Familiarity with the Model Context Protocol (MCP) for standardizing AI tool connections
Background in Developer Tools (building CLI tools, IDE plugins, or CI/CD automations)
Understanding of Graph Databases (e.g., Neo4j) for knowledge graph implementation alongside vector search

Benefits

Comprehensive Medical, Dental, and Vision
Paid Time Off Programs including vacation, holidays, illness, and parental leave
Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
Retirement benefits, life insurance, 401k match, and tuition reimbursement
Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships

Company

PENNYMAC

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Pennymac is a home loan lending company that offers financial services.

H1B Sponsorship

PENNYMAC has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (48)
2024 (42)
2023 (33)
2022 (44)
2021 (65)
2020 (34)

Funding

Current Stage
Public Company
Total Funding
$2.33B
2025-12-11Post Ipo Debt· $75M
2025-08-07Post Ipo Debt· $650M
2024-05-20Post Ipo Debt· $850M

Leadership Team

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Stanford L. Kurland
Founder, Chairman, and Chief Executive Officer
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Amar Nadig
Senior Vice President of Enterprise Data
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Company data provided by crunchbase