Senior Software Engineer, AI
What You'll Do
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Contribute to the architecture and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
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Design and implement components of our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
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Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
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Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
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Provide technical guidance and mentorship to other engineers on the growing AI team, promoting best practices for AI product development, deployment, and governance
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Implement context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
What You'll Bring
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7+ years of professional software engineering experience with 3+ years focused on building backend for production applications
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Strong proficiency in Python, alongside familiarity with AI application frameworks, context engineering, and scalable system design for AI products
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Experience designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
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Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
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Proven ability to own tech product initiatives, drive technical standards, and communicate complex system designs to both technical and business stakeholders
Nice To Haves/Other
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Experience building chatbots or conversational AI products in production
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Background in system integration, API design, or enterprise software platforms
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Familiarity with accounting workflows and financial data processing
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Experience with AI observability, debugging tools, and production AI monitoring
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Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques
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Knowledge of reinforcement learning from human feedback (RLHF) or other RL techniques for improving AI product performance
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Experience building AI platform components like embedding pipelines, semantic search systems, or multi-modal processing frameworks
Here’s Why You Should Apply
- What is engineering working on? Our FQ Engineering Blog showcases a number of our recent efforts straight from the engineers working on them. Check it out!Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
Parental Benefits
- Non-Birth Parent or Paternity Leave
- Birth Parent or Maternity Leave
Work Flexibility
- Remote Work Opportunities
Office Life and Perks
- Company Outings
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
Vacation and Time Off
- Leave of Absence
- Paid Holidays
- Unlimited Paid Time Off
- Paid Vacation
Financial and Retirement
- Relocation Assistance
- Performance Bonus
- Company Equity
- 401(K)
Professional Development
- Promote From Within
- Shadowing Opportunities
- Access to Online Courses
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program