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TaxAct Tech Stack

AI-powered tax prep software with retrieval and LLM systems

Software Development Dallas, Texas 51–200 employees Public Company

TaxAct is building an AI-native tax filing product using vector search (Pinecone, FAISS, Chroma) and LLM orchestration (LangChain, LangGraph) to reduce hallucination and improve retrieval accuracy—core pain points in RAG-based tax guidance. The tech stack reveals a cloud-native, security-conscious operation (Azure Entra, Microsoft Sentinel, CrowdStrike) paired with production ML infrastructure (DynamoDB, Lambda, SQS), and the hiring surge is concentrated in senior/principal roles across data, engineering, and security, indicating both technical depth and operational maturity required to ship AI at scale.

Tech Stack 35 technologies

Core StackPython Tableau Pinecone TypeScript CrowdStrike SQL Server PostgreSQL DynamoDB AWS RDS AWS Datadog CloudFormation Terraform C# AWS Lambda Docker Kubernetes WordPress FAISS Chroma Microsoft Sentinel Azure Monitor Azure Entra ID PowerShell Bash AWS ECS AWS SQS AWS SNS Adobe Acrobat Snagit
AdoptingLangChain LangGraph

What TaxAct Is Building

Challenges

  • Complex tax filing process
  • Reducing hallucination in ai outputs
  • Improving retrieval accuracy and latency
  • Scaling ai systems across internal platforms
  • Visibility gaps in security monitoring
  • Monitoring failures
  • Incident response inefficiencies

Active Projects

  • Ai-enabled product design
  • Design ai-powered product features
  • Ai-driven tax filing experience
  • Ai-informed design patterns
  • Ai-native product ecosystem
  • Production-grade ai system deployment
  • Workflow-driven ai system development
  • Rag system design
  • Microsoft sentinel implementation and optimization
  • Operational playbooks and automation development

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Data
1
Design
1
Engineering
1
Product
1
Security
1

Seniority

Senior
3
Principal
2
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About TaxAct

TaxAct is a tax preparation software company serving individual and business filers across the United States. The product helps users identify credits and deductions through guided, easy-to-follow workflows. The company operates from Dallas, Texas with 51–200 employees, and is organized around engineering, product, design, data, and security functions. Recent project focus centers on AI-driven filing experiences, RAG system design, and production deployment of LLM-powered features. Current technical priorities include retrieval accuracy, hallucination mitigation, and security visibility.

HeadquartersDallas, Texas
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What AI tools does TaxAct use?

TaxAct is actively adopting LangChain and LangGraph for LLM orchestration, alongside vector databases Pinecone, FAISS, and Chroma for retrieval-augmented generation (RAG) in tax guidance systems.

What cloud infrastructure does TaxAct use?

TaxAct runs on AWS (RDS, Lambda, ECS, SQS, SNS, CloudFormation) and Azure (Entra ID, Sentinel, Monitor) with infrastructure-as-code via Terraform, containerization via Docker and Kubernetes, and monitoring via Datadog.

How this profile is built

TaxAct's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.