AI Engineer, Manager - Tax Transformation
Indexed description
Recruiting for this role ends on May 31, 2027.
Responsibilities:
- Define and enforce best practices and coding standards across the project.
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and help manage the flow of day-to-day operations
- Communicating with the client on a regular basis
- Design, develop, and maintain robust and scalable Python applications.
- Write clean, maintainable, and efficient code following best practices and coding standards.
- Optimize code for performance and scalability, ensuring efficient data handling.
- Work closely with cross-functional teams to deliver high-quality software solutions.
- Identify and resolve technical issues, ensuring the reliability and performance of applications.
- Create and maintain comprehensive documentation for code, processes, and workflows.
- Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.
Qualifications
Required:
- Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
- Bachelor's degree in computer science, engineering, or a relevant discipline.
- 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications.
- Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition.
- Proven skills in asynchronous and parallel programming with practical experience using asyncio.
- Experience working in Agile environments and applying core design patterns.
- Demonstrated proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/NoSQL, Entity Framework 6+).
- Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- One of the following active accreditations obtained:
- Licensed CPA in state of practice/primary office if eligible to sit for the CPA
- If not CPA eligible:
- Licensed Attorney
- Enrolled Agent
- Technology Certifications:
- AWS Certified Solutions Architect
- Certified in Risk and Information Systems Controls (CRISC)
- Certified Information Systems Security Professional (CISSP)
- Certified SAFe® Advanced Scrum Master
- Certified SAFe® Agile Software Engineer
- Certified SAFe® Agilist
- Certified SAFe® Architect
- Certified SAFe® DevOps Practitioner
- Certified SAFe® Scrum Master
- Certified Scrum Developer (CSD)
- Certified Secure Software Lifecycle Professional (CSSLP)
- Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2
- Microsoft Azure
- Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications.
- Experience with agentic frameworks such as LangGraph.
- Advanced prompt engineering knowledge for LLM optimization.
- Exposure to multi-modal Gen AI models (text-image, text-audio, etc.).
- Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search.
- Experience with performance tuning, reusable library creation, and advanced troubleshooting.
- Familiarity with modern front-end technologies (Angular), MongoDB, NPM, and Azure DevOps Build/Release configuration.
- Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
- Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
- Self-starter with solid analytical and problem-solving skills.
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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