FloQast
Technology
SeniorSoftwareEngineer,CoreAI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Core AI at FloQast. Skills: AI products, Python, AI frameworks, Context engineering, System design. Contribute to architecture. Lead production AI product development”
Industry & Context.
Debugging
What They're Looking For.
Must Have
7+ years software engineering experience, 3+ years backend development experience, Proficiency in Python, Familiarity with AI frameworks, Familiarity with context engineering, Familiarity with scalable system design for AI, Experience designing integrated products, Experience with cloud-native environments, Hands-on experience with LLM APIs, Hands-on experience with RAG, Hands-on experience with conversational AI, Hands-on experience with document processing, Hands-on experience with MCP integrations, Ability to own tech product initiatives, Ability to drive technical standards, Ability to communicate complex system designs
Nice to Have
Experience building chatbots, Experience building conversational AI products, Background in system integration, Background in API design, Background in enterprise software platforms, Familiarity with accounting workflows, Familiarity with financial data processing, Experience with AI observability, Experience with AI debugging tools, Experience with production AI monitoring, Advanced RAG architectures experience, Reranking systems experience, Retrieval optimization techniques experience, Knowledge of RLHF, Knowledge of other RL techniques, Experience building AI platform components, Experience building embedding pipelines, Experience building semantic search systems, Experience building multi-modal processing frameworks
What You'll Do.
Contribute to architecture
Lead production AI product development
Design AI platform components
Implement AI platform components
Build scalable AI products
Integrate with accounting systems
Integrate with document repositories
Integrate with external APIs
Maintain robust monitoring
Maintain observability
Implement context engineering
Implement system design for AI
Ensure optimal information retrieval
Ensure context assembly
Ensure multi-turn conversation management
Collaborate with Product teams
Collaborate with Engineering teams
Collaborate with Security teams
Ensure AI products are robust
Ensure AI products are compliant
Align AI products with business objectives
Provide technical guidance
Provide mentorship to engineers
Promote best practices for AI development
Promote best practices for AI deployment
Promote best practices for AI governance
How You'll Work.
Team & Collaboration
Product teams; Engineering teams; Security teams
Communication Scope
Communicate system designs
Full Job Description
## What You'll Do 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 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 Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability Implement context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space Provide technical guidance and mentorship to other engineers on the growing AI team, promoting best practices for AI product development, deployment, and governance ## What You'll Bring 7+ years of professional software engineering experience with 3+ years focused on building backend for production applications Strong proficiency in Python, alongside familiarity with AI application frameworks, context engineering, and scalable system design for AI products Experience designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred) Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations 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 Experience building chatbots or conversational AI products in production Background in system
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