Software Engineer, AI

Ambrook

. Develop intelligent systems and tools using LLMs, generative AI solutions, and heuristics to streamline bookkeeping and financial workflows .

Posted 10/4/2026full-timeUnited StatesMid-LevelSenior💰 $115,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing AI-driven solutions, particularly in financial workflows, utilizing LLMs and generative AI. Proficient in prompt engineering, document processing, and collaboration across multidisciplinary teams to enhance AI systems.

Highest-signal resume keywords

ML/AI-Driven Feature DevelopmentLLM APIs ExperiencePrompt EngineeringDocument ProcessingFinancial Transaction Tagging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningGenerative AIPrompt EngineeringDocument ExtractionFinancial Workflow AutomationData ClassificationEvaluation InfrastructureExperimentationVector SearchFine-Tuning

Soft Skills

CollaborationPragmatic JudgmentCommunication

Tools & Technologies

Vercel AI SDKOpenAI APIAnthropic APIGemini APIBraintrust

Industry Keywords

BookkeepingFinancial WorkflowsAI StrategyHuman-in-the-LoopUnstructured Data

Tech Stack

Tools & technologies

TypeScript

About the role

Key responsibilities & impact

Develop intelligent systems and tools using LLMs, generative AI solutions, and heuristics to streamline bookkeeping and financial workflows
Build infrastructure for evaluating AI systems
Teach best practices in ML system design, evaluation, prompt engineering, and scalable AI infrastructure
Learn from and process messy financial data including scanned PDFs, unformatted CSVs, and text-heavy emails
Improve internal tooling for classification, tagging, summarization, and user-in-the-loop AI systems
Build an assistant powering a critical bookkeeping workflow
Collaborate with operations, product, engineering, and design to understand customer workflows and create reliable AI features
Review and improve evaluation infrastructure, harness design, shared memory, durability, and foundational components
Scale evaluation pipelines and make harnesses more extensible
Implement or improve document extraction and financial transaction tagging systems
Own and scale systems forming the backbone of the AI CFO vision
Contribute to AI strategy, including task automation, confidence measurement, and human-in-the-loop decisions
Build tooling for prompt iteration, embedding search, labeling, and retraining
Share learnings through an Ambrook engineering blog post or open-source tool

Requirements

What you’ll need

Experience building and shipping ML/AI-driven features to production
Excitement to apply language models to real-world, unstructured datasets
Pragmatic judgment about when to use an LLM, regular expression, or user input
Understanding of experimentation in a rapidly evolving environment
Experience with LLM APIs, prompt engineering, embeddings, vector search, or fine-tuning
Bonus: experience with transactions, finance, document processing, or communications tooling
Bonus: experience with TypeScript and AI tooling such as Vercel AI SDK, Braintrust or similar evaluation vendors, and Anthropic, OpenAI, or Gemini provider APIs
Authorization to work in the United States for any employer

Benefits

Comp & perks

Competitive compensation
Health insurance
401(k) with matching contribution
Paid parental leave
Flexible work hours and vacation time
Work-from-home/remote office stipend
Wellness stipend
Professional development stipend
Equity