Senior AI Engineer

Maxwell

Senior AI Engineer shipping production LLM and agentic systems for Maxwell’s mortgage technology platform. Owning retrieval, evaluations, observability, cost, latency, and AI architecture.

Posted 8/23/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $90,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering production AI systems, particularly LLM-based and agentic systems, with a strong focus on architecture, observability, and performance optimization. Proficient in Python and cloud infrastructure, with a proven track record of shipping impactful AI capabilities and managing production environments.

Highest-signal resume keywords

LLM-Based Systems DevelopmentPython ProficiencyCloud Infrastructure (AWS)Production Evals and ObservabilityAgentic Systems Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction LLM SystemsAgentic SystemsTool Use and OrchestrationMulti-Step WorkflowsPrompt DesignRetrieval Systems (RAG)Vector DatabasesEmbedding ModelsCost-Performance Tradeoffs

Soft Skills

Clear CommunicationTechnical MentorshipOwnership Mindset

Tools & Technologies

LLM APIs (Anthropic, OpenAI, AWS Bedrock)AWS SageMakerServerless ArchitectureContainersAPI DesignModern Agent Frameworks (LangGraph, CrewAI, AutoGen)Data Warehouses (Snowflake, BigQuery)Transformation Tools (dbt)

Industry Keywords

FintechMortgageRegulated IndustryDocument AIOCR Pipelines

Tech Stack

Tools & technologies

AWSBigQueryCloudOpen SourcePython

About the role

Key responsibilities & impact

Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots
Make architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation
Own evals and observability for production AI systems
Manage cost and latency at production volume
Partner with AI product on scoping and sequencing features
Partner with data engineering on pipelines, schemas, and data quality
Provide technical mentorship to engineers working on AI-adjacent systems
Evaluate vendors and models through POCs, benchmarks, and cost-performance tradeoffs
Ship a meaningful AI improvement or new capability within 60 days
Establish evals and observability within 90 days
Improve reliability, cost predictability, latency, and engineering productivity

Requirements

What you’ll need

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; ability 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; ability to write design docs, explain tradeoffs, and collaborate with product and engineering peers
Ownership mindset; ships work end-to-end
Nice to have: fintech, mortgage, or regulated industry experience
Nice to have: document AI, OCR pipelines, or structured extraction workflows
Nice to have: AWS Bedrock, SageMaker, or equivalent cloud AI services
Nice to have: modern agent frameworks such as LangGraph, CrewAI, AutoGen, or custom frameworks
Nice to have: modern data warehouses such as Snowflake or BigQuery and transformation tools such as dbt
Nice to have: open source AI or ML contributions
Nice to have: experience operating production systems on-call

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Maxwell Website LinkedIn All Job Openings 51 - 200 employees Founded 2015 ☁️ SaaS 💳 Fintech 🤝 B2B 💰 $28.5M Series B on 2021-11 SaaS
Fintech
B2B Maxwell is a U. S. -based mortgage technology and services company that provides an end-to-end origination platform for lenders. Its suite includes point-of-sale software, business intelligence, QuickPricer, eClose, integrations, fulfillment (processing, underwriting, closing), diligence/TPR services, and private-label origination. Maxwell delivers customizable, cloud-based software and outsourced fulfillment services to banks, independent mortgage banks (IMBs), credit unions and other mortgage lenders to streamline application intake, underwriting, due diligence and closing, reduce time-to-close, and lower cost per loan. Senior AI Engineer Job not on LinkedIn 🔥 8 hours ago 🇺🇸 United States – Remote 💵 $90k - $150k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 👻 Ghost score 0% AWS BigQuery Cloud Open Source Python Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots
Make architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation
Own evals and observability for production AI systems
Manage cost and latency at production volume
Partner with AI product on scoping and sequencing features
Partner with data engineering on pipelines, schemas, and data quality
Provide technical mentorship to engineers working on AI-adjacent systems
Evaluate vendors and models through POCs, benchmarks, and cost-performance tradeoffs
Ship a meaningful AI improvement or new capability within 60 days
Establish evals and observability within 90 days
Improve reliability, cost predictability, latency, and engineering productivity 🎯 Requirements
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; ability 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; ability to write design docs, explain tradeoffs, and collaborate with product and engineering peers
Ownership mindset; ships work end-to-end
Nice to have: fintech, mortgage, or regulated industry experience
Nice to have: document AI, OCR pipelines, or structured extraction workflows
Nice to have: AWS Bedrock, SageMaker, or equivalent cloud AI services
Nice to have: modern agent frameworks such as LangGraph, CrewAI, AutoGen, or custom frameworks
Nice to have: modern data warehouses such as Snowflake or BigQuery and transformation tools such as dbt
Nice to have: open source AI or ML contributions
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