Note: The job is a remote job and is open to candidates in USA. Maxwell is a mortgage technology and fulfillment company building AI systems to make lending simpler, faster, and more accessible. The Senior AI Engineer will design and deliver production AI and agentic systems, establish evaluation and observability practices, manage cost and latency, and collaborate with product and data engineering teams.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Remote-first team
Company Overview
Company H1B Sponsorship