Forward Deployed AI Engineer

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.