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About This Role
*\*Applicants must reside in the DFW metroplex and be able to work a hybrid model, currently consisting of two (2\) days in office and three (3\) days remote weekly\**
The work you’ll do
Are you a software engineer who is passionate about data, AI, and building scalable solutions that drive business impact? Do you enjoy designing platform architecture, developing intelligent applications, and helping others grow? TAG is looking for a Sr. Software Engineer, Data \& AI to design and implement modern data platforms, develop AI\-powered business applications, and help shape the foundation for resilient, scalable solutions that enable our business to make better use of data.
The team
Tax Advisors Group (TAG) provides personalized business personal property and real estate tax consultancy services to corporations nationwide, driving industry\-leading results with the highest standard of client service. Serving 640\+ companies with a 95%\+ client retention rate, we’re proud to have been named a 2025 and 2026 Top Workplace, one of America’s Best Tax Firms by Forbes for 2022 and 2023, and a most recommended tax firm for 2024, 2025, and 2026 by USA Today. Originally focused on providing property tax solutions for Texas corporations, TAG has in recent years begun expanding offerings to include nationwide compliance and real estate services, leading to an overall period of growth and transformation for the company.
Now is an exciting time to join the \#TAGteam as the company continues to expand and evolve! Here at TAG, we recognize our people are our most valuable asset, and that’s reflected in our approach to driving a fantastic work culture. We’re focused on growing the business and leveraging that growth to carve out unique development opportunities for every person on the TAG team. With weekly catered lunches, regular social events in and outside the office, and an extended holiday break each December to disconnect and recharge, we really care about having fun while we work! To put it plainly – our goal is to be the \#1 preferred employer in the property tax space.
Responsibilities
- Collaborates with the VP, Technology to envision, create and review data architectural design as needed.
- Serves as the primary liaison to business stakeholders, including executive leadership, to translate business requirements into repeatable analytical models and solutions ensuring reusable datasets rather than one\-off reports.
- Personally delivers code to enable process automation and predictive analytics.
- Assists in ensuring high data quality is available for business users to access and derive insights.
- Troubleshoots and maintains code ongoing.
- Establishes and follows automated testing best practices established within the software development team.
- Performs code reviews of team submissions as needed.
Qualifications
- Business\-driven software engineer with 5\+ years of software development experience and experience with data architecture design, structure, and models.
- In\-depth C\#, SQL, and Python experience, including application architecture and ownership.
- Experience utilizing AI to accelerate development, validation of AI\-generated solutions, and understanding of how data must be structured for AI consumption. Experience with agentic workflows is highly preferred.
- Experience building solutions targeting Microsoft Azure.
- Experience working in a fast\-paced development environment.
- Exceptional written and verbal communication skills and conflict resolution abilities.
- Well\-developed analytical, interpersonal, and organizational skills.
- This position will be based in Dallas, TX, with some remote work possible.
- Travel estimated to be little to none.
Benefits
Competitive salary, with incentivized earning potential
401(k) matching plan
Comprehensive Benefits: Medical/Dental/Vision Plan
Paid time off, standard Winter Break company closure, and paid parental leave
Weekly catered lunches, and regular company social events
Hybrid Work Schedule
*It is TAG’s practice to provide and promote equal opportunity employment through hiring, promotion, and transfer practices, compensation practices, and development opportunities without discrimination based on race, color, national origin, citizenship, sex or gender, gender identity or expression, sexual orientation, marital status, religion, age, disability, service in the military, or any other characteristic protected by applicable federal, state, and local laws.*
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 4,317 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Tax Advisors Group LLC, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $218,500 based on 729 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Tax Advisors Group LLC AI Hiring
Tax Advisors Group LLC has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Dallas, TX, US.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
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