[Hiring] Senior AI Engineer @Maxwell

Role Description

Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. This role exists to accelerate what we have and ship the next generation of AI and agentic systems.

You are an applied AI engineer who ships. Your scope from day one includes:

• Design and delivery of production AI and agentic systems across document intelligence, workflow automation, and copilots.
• Architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
• Evals and observability for production AI. You own how we know the system is working and how we catch it when it is not.
• Cost and latency management at production volume.
• Partnership with AI product on scoping and sequencing features.
• Partnership with data engineering on the pipelines, schemas, and data quality your systems depend on.
• Technical mentorship of other engineers working on AI-adjacent systems.
• Vendor and model evaluation, including POCs, benchmarks, and cost-performance tradeoffs.

Qualifications

• 6+ years of software engineering experience, with at least 2 years focused on shipping production LLM-based or ML systems.
• Demonstrated experience building and deploying agentic systems, including tool use, orchestration, and multi-step workflows.
• Strong Python proficiency, including production-grade code quality, testing, and deployment practices.
• Hands-on experience with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or similar), including prompt design, structured outputs, and function calling.
• Production experience with evals and observability for LLM systems. You know how to measure accuracy, detect regressions, and monitor drift.
• Experience with retrieval systems (RAG), vector databases, and embedding models.
• Fluency with cloud infrastructure (AWS preferred), including serverless, containers, and API design.
• Clear written and verbal communication skills with the ability to write design docs, explain tradeoffs, and collaborate with product and engineering peers.
• Ownership mindset - Ships work end-to-end rather than handing off.

Requirements

• Fintech, mortgage, or regulated industry experience.
• Experience with document AI, OCR pipelines, or structured extraction workflows.
• Familiarity with AWS Bedrock, SageMaker, or equivalent cloud AI services.
• Experience with modern agent frameworks (LangGraph, CrewAI, AutoGen, custom) and a clear point of view on when each is appropriate.
• Experience with modern data warehouses (Snowflake, BigQuery) and transformation tools (dbt).
• Contributions to open source AI or ML projects.
• Experience operating production systems on-call.

What Success Looks Like

• Within 60 days, you have shipped a meaningful improvement to an existing AI capability or a new one into production.
• Within 90 days, evals and observability are in place for the systems you own.
• AI systems run reliably at production volume with predictable cost and latency.
• Other engineers on the team ship AI work faster and with higher quality because of the patterns and tooling you have established.
• You are the person product and engineering leadership trust to give a straight answer on what is shippable, what is not, and what it will take.

Salary Band

$180,000 – $210,000 (depending on experience and location)