Senior AI Engineer
New
M
MaxwellMortgage Technology
Remote - United StatesFull-TimeSenior
Salary90,000 - 150,000 USD per year
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Job Details
- Experience
- 6+ years of software engineering experience, with at least 2 years focused on shipping production LLM-based or ML systems.
- Required Skills
- AWSPythonMachine LearningPrompt Engineering
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 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.
- Ownership mindset with experience shipping work end-to-end.
Responsibilities
- 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.
- Implement evals and observability for production AI to monitor system performance and detect regressions.
- Manage cost and latency for systems at production volume.
- Partner with AI product on scoping and feature sequencing.
- Collaborate 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 trade-offs.
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