TradeGaugeAI logo

Transaction Advisory Engineer

TradeGaugeAI
Department:Data Analysis
Type:REMOTE
Region:Jacksonville, FL
Location:Ponte Vedra Beach, FL
Experience:Mid-Senior level
Estimated Salary:$120,000 - $180,000
Skills:
LANGCHAINLANGGRAPHAUTOGENCREWAILLM ORCHESTRATIONRAG PIPELINEVECTOR DATABASESREACTNEXT.JSNODE.JSPYTHONFASTAPIDJANGOTYPESCRIPTREST APIGRAPHQLPOSTGRESQLFINANCIAL DATA MODELINGETL PIPELINESAWS TEXTRACTGOOGLE DOCUMENT AINUMPYPANDASSCIPYSTATISTICAL VALIDATIONFINANCIAL MODELINGAWSGCPAZUREDOCKERKUBERNETESCI/CDTERRAFORMPULUMISOC 2 COMPLIANCERBAC
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Job Description

Posted on: April 12, 2026

🚀 Transaction Advisory Engineer / TradeGaugeAI 📍Jacksonville, FL | Remote-First | Full-Time

About TradeGaugeAI

TradeGaugeAI is a live, revenue-generating AI-native intelligence platform for M&A, with active clients onboarding now. Our core AI QoE product is in market, delivering CPA-reviewed Quality of Earnings in 48 hours at a fraction of legacy costs.

Our next chapter is PRISM, the flagship product line that fuses Quality of Earnings with a full Commercial Market Intelligence Report into a single unified deliverable. PRISM combines micro financial diligence, macro quant insights, predictive forward earnings, and continuous quant validation, the AI equivalent of a $500K MBB engagement, delivered at $50K with validation built in. PRISM launches Q3 2026 and you will be building the system that makes it possible.

This is not a maintenance role and this is not a pre-revenue startup. You are joining a company that is already working with clients and scaling toward a product launch that changes the M&A intelligence market permanently.

🔨 What You Will Build

▸ Design and build agentic AI workflows that automate QoE analysis, EBITDA normalization, and earnings defensibility assessments

▸ Build the commercial market intelligence pipeline -sector trend aggregation, competitor mapping, and forward market thesis generation powered by agentic research workflows

▸ Develop the financial data ingestion and normalization pipeline - QuickBooks, Xero, Sage, PDF, and unstructured document sources

▸ Build the PRISM quantitative validation engine that stress-tests every financial assumption in real time

▸ Implement the predictive forward earnings model integrating company trajectory, sector data, and macro conditions

▸ Architect multi-tenant data infrastructure to support PE firms, CPA networks, and M&A advisors simultaneously

▸ Integrate third-party macro data feeds (FRED, sector APIs) into the PRISM intelligence layer

▸ Build and maintain the Val API - the white-label intelligence layer embedded into partner platforms

▸ Own delivery of the live analytical workbook output alongside the structured PDF report

⚙️ Technical RequirementsAI & Agentic Systems

▸ Multi-agent frameworks - LangChain, LangGraph, AutoGen, or CrewAI

▸ LLM orchestration: prompt engineering, tool use, function calling

▸ RAG pipeline design and optimization

▸ Vector databases - Pinecone, Weaviate, or pgvector

▸ Agentic memory architectures: short-term, long-term, episodic

▸ Streaming agent output via WebSocket or SSE

▸ Model fine-tuning or RLHF exposure is a strong plus

Full-Stack Development

▸ React or Next.js - SSR, dynamic dashboards, real-time UI components

▸ Node.js or Python (FastAPI / Django) for backend API development

▸ TypeScript, strongly preferred

▸ REST and GraphQL API design

▸ Authentication, RBAC, and multi-tenant session management

Financial Data Infrastructure

▸ PostgreSQL, schema design, indexing, query optimization at scale

▸ Financial data modeling: P&L structures, EBITDA normalization, working capital schedules

▸ ETL pipeline development for QuickBooks, Xero, Sage, and raw document sources

▸ Document parsing and OCR integration (AWS Textract, Google Document AI, or similar)

▸ Time-series data handling for financial forecasting

▸ Codat, Finicity, or financial data aggregator experience is a plus

Quantitative & Analytical Layer

▸ Python, NumPy, Pandas, SciPy for quantitative modeling

▸ Statistical validation: stress testing, Monte Carlo simulation, sensitivity analysis

▸ Financial modeling: DCF, earnings normalization, forward projections

▸ Macro economic data feed integration (FRED, Bloomberg API, or equivalent)

▸ Experience validating or auditing financial models in a professional context

Cloud & DevOps

▸ AWS, GCP, or Azure - compute, storage, and managed AI services

▸ Bedrock, Vertex AI, or Azure OpenAI service integration

▸ Docker and Kubernetes for containerized deployments

▸ CI/CD pipelines via GitHub Actions or CircleCI

▸ Infrastructure-as-code: Terraform or Pulumi

Security & Compliance

▸ SOC 2 Type II awareness and secure data handling practices

▸ Encrypted data pipelines and PII / financial data protection

▸ RBAC implementation across multi-tenant environments

▸ Audit logging and data lineage for regulated financial outputs

⭐ Bonus Qualifications

▸ Prior experience at a QoE firm, transaction advisory practice, investment bank, or PE-backed fintech

▸ Hands-on understanding of M&A deal processes, what a buy-side or sell-side team actually needs from a diligence tool

▸ Experience with commercial due diligence methodologies - market sizing, competitive landscape analysis, or sector research

▸ Experience building white-label or multi-tenant SaaS platforms at scale

▸ Exposure to SBA lending workflows, commercial underwriting, or credit analysis

▸ Published work, open-source contributions, or competition results in AI/ML

▸ Experience integrating with accounting platform APIs at the data model level

💡 Who You Are

▸ You think in systems - you design architecture, not just features

▸ You understand the business - you know why EBITDA normalization matters to a PE deal team

▸ You are comfortable with ambiguity - PRISM is pre-launch, you will be defining patterns, not following them

▸ You move fast and validate -speed matters, but so does accuracy when a deal team is pricing on your output

▸ You own outcomes -startup mentality, no hand-holding

▸ You collaborate without ego. flat hierarchy, good ideas win

▸ You are curious about finance, you don't need to be a CPA, but deals should genuinely interest you

▸ You want to build something that matters, this platform will change how millions of transactions get evaluated

💰 Compensation & Benefits

▸ Competitive base salary commensurate with experience

▸ Equity in a company raising at a $21M cap with a live client base

▸ Performance bonuses tied to PRISM launch milestones

▸ Remote-first, work from anywhere

▸ Flexible hours built around outcomes, not clock-watching

▸ Direct access to founders. no layers of management

▸ High-impact role on a platform already generating revenue and scaling fast

▸ Path to senior or lead engineering as PRISM launches and grows

📩 How to Apply

Send your resume, a link to your GitHub or any relevant work, and 2–3 sentences on why the intersection of agentic AI and M&A intelligence is the right problem for you to be working on right now.

No cover letter needed. We want to know how you think.

👉 shitson**@tradegauge.ai** 🌐 tradegauge.ai

TradeGaugeAI is an equal opportunity employer. We hire on merit, curiosity, and the drive to build something that has never existed before.

Originally posted on LinkedIn

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