Forward Deployed AI Engineer

Baker Tilly Advisory Group, LP; San Francisco (CA); On-site; USD 205,000 - 250,000; Full time

Job summary

Baker Tilly Advisory Group, LP is building a team to design, develop, and deploy AI-powered workflows and agent-based solutions for Tax, Assurance, and Advisory. This forward-deployed AI engineer will join the APG Agent Factory founding team and own end-to-end development of production-ready AI applications.

The role requires strong full-stack skills, experience with LLMs, and collaboration with domain experts to translate requirements into scalable software in a fast-paced professional services

Qualifications

• 5 years of hands-on software engineering delivering production-quality apps.
• Experience deploying an LLM-powered feature to real users.
• Ability to translate business requirements into technical solutions.
• Strong full-stack skills: backend, data models, APIs, and UI.
• Proficiency in Python, TypeScript, Go, or Java and learning new languages quickly.

Responsibilities

• Build and maintain AI agents and multi-step workflows with orchestration and memory management.
• Develop production-quality applications, APIs, data models, dashboards, and user interfaces.
• Collaborate with Tax, Assurance, and Advisory to automate business processes.
• Define hypotheses, testing criteria, and evaluation frameworks for AI capabilities.
• Maintain automated tests and ground-truth datasets with SMEs for reliability.

Skills

Hands-on software engineering

Full-stack

Python

TypeScript

Go

Java

APIs

LLM-powered features

Azure

React

RAG

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Advanced degree preferred

Tools

Microsoft Azure

PostgreSQL

Containers

React

Job description

Baker Tilly Advisory Group, LP is seeking a Forward Deployed AI Engineer to join the founding team of the AI Product Group (APG) Agent Factory. This hands-on role focuses on designing, developing, and deploying production-ready AI-powered applications and intelligent agentic workflows for Tax, Assurance, and Advisory.

Location

San Francisco, CA (onsite)

Salary

• National pay rate range: $205,000–$250,000
• California pay rate range: $205,000–$250,000

Responsibilities

• Build, implement, and maintain AI agents and multi-step workflows, including task decomposition, orchestration, context and memory management, tool integration, human-in-the-loop checkpoints, and failure handling.
• Develop production-quality applications, backend services, APIs, data models, dashboards, conversational interfaces, and user-facing workflows that help practitioners interact effectively with AI-powered solutions.
• Collaborate with Tax, Assurance, and Advisory professionals and subject matter experts to understand business processes, identify automation opportunities, and translate expertise into actionable requirements and working software.
• Define measurable hypotheses, testing criteria, evaluation frameworks, and performance baselines to validate AI capabilities and guide technical decisions prior to production deployment.
• Build and maintain automated tests, regression suites, and ground-truth datasets in partnership with subject matter experts to support reliability, accuracy, and continuous improvement.
• Own solutions end-to-end, including monitoring, troubleshooting, and ongoing enhancements to support successful adoption and positive user outcomes.
• Connect AI applications with enterprise systems, APIs, and governed data sources using established integration standards, secure access controls, and data contracts.
• Contribute shared technical patterns, reusable components, documentation, and engineering best practices that enable consistent and scalable development across the Agent Factory.
• Work with external engineering partners to acquire specialized expertise and transition solutions into internally owned production environments, including maintainable code, tests, and operational documentation.
• Partner with U.S. and India engineering teams, product management, design, data platform, and enterprise architecture to align on technical solutions and maintain consistent engineering standards.
• Use user feedback, application performance data, emerging AI technologies, and evaluation results to refine solutions and identify opportunities to improve productivity, reliability, and business value.
• Participate in special projects and other duties as assigned to advance the firm’s AI engineering capabilities and business priorities.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 5 years of hands‑on software engineering experience delivering multiple production‑quality applications or products from concept through deployment.
• Experience deploying at least one LLM‑powered feature or application to real users, regardless of scale.
• Experience working directly with domain experts, business stakeholders, or customers to translate requirements into technical solutions and own delivered outcomes.
• Strong full‑stack experience, including backend services, data models, APIs, and modern user‑facing applications.
• Deep proficiency in at least one mainstream programming language such as Python, TypeScript, Go, or Java, with demonstrated understanding of language fundamentals, design patterns, and production‑quality practices.
• Ability to learn and apply new programming languages, frameworks, and technologies quickly; familiarity with Python and TypeScript preferred.
• Strong software engineering fundamentals: system design, application architecture, automated testing, debugging, performance optimization, and development of scalable, maintainable systems.
• Experience developing and integrating modern web applications, APIs, authentication mechanisms, and secure enterprise services.
• Demonstrated ability to validate solutions through measurable outcomes, including automated testing, benchmarks, experiments, evaluation frameworks, or A/B testing.
• Strong analytical and problem‑solving skills, including the ability to evaluate trade‑offs and resolve ambiguity.
• Ability to collaborate with nontechnical stakeholders and subject matter experts, including explaining technical concepts in business‑focused language.
• Familiarity with LLM applications, retrieval‑augmented generation (RAG), AI evaluation methodologies, or Model Context Protocol (MCP) preferred.
• Experience with agentic AI concepts such as orchestration, tool use, context management, and human‑in‑the‑loop workflows preferred; prior agent‑building experience not required.
• Experience with cloud‑based development and technologies such as Microsoft Azure, containers, PostgreSQL, and React preferred.
• Experience in professional services, regulated industries, or environments serving specialized business users preferred; prior Tax, Assurance, or Accounting experience not required.
• Excellent written and verbal communication skills, including documenting technical solutions and collaborating across technical and business teams.
• Ability to work independently, manage competing priorities, adapt quickly, and deliver high‑quality solutions in a fast‑paced environment.
• Experience using AI‑assisted and agentic development tools to increase engineering productivity, or strong willingness to incorporate these tools into daily development practices.
• No professional certifications or licenses required.

Technologies

• Python
• TypeScript
• Go
• Java
• LLM‑powered features
• Retrieval‑augmented generation (RAG)
• Model Context Protocol (MCP)
• Microsoft Azure
• Containers
• PostgreSQL
• React
• A/B testing

Benefits

Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.