Senior Software Engineer, AI

FloQast

. Architect and lead development of production AI products, including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks .

Posted 9/17/2026full-timeSan Jose • California • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and leading the development of AI products, with a strong focus on Python, AI application frameworks, and scalable system design. Proven ability to integrate diverse technologies and APIs while ensuring compliance and robust monitoring in production environments.

Highest-signal resume keywords

Python MasteryAI Application FrameworksScalable System DesignTechnical LeadershipAPI Design

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Hard Skills

Software EngineeringBackend DevelopmentContext EngineeringDocument ProcessingConversational AIRetrieval-Augmented GenerationReinforcement LearningAI ObservabilityProduction MonitoringSystem Integration

Soft Skills

CollaborationMentorshipCommunication

Tools & Technologies

AWSMCP IntegrationsEmbedding PipelinesSemantic Search SystemsMultimodal Processing Frameworks

Industry Keywords

AI ProductsChatbotsFinancial Data ProcessingCloud-Native EnvironmentsTechnical Standards

Tech Stack

Tools & technologies

AssemblyAWSCloudPython

About the role

Key responsibilities & impact

Architect 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 a centralized AI platform with model routing, provider management, vector search, AI application frameworks, and MCP integrations
Build scalable AI products integrating accounting systems, document repositories, external APIs, and diverse technologies
Maintain robust monitoring and observability
Apply context engineering and system design for information retrieval, context assembly, and multi-turn conversation management
Collaborate with Product, Engineering, and Security teams on robust, compliant AI products aligned with business objectives
Provide technical leadership and mentorship to the AI team
Establish best practices for AI product development, deployment, and governance

Requirements

What you’ll need

5+ years of professional software engineering experience
4+ years focused on building backend for production applications
Mastery of Python
Familiarity with AI application frameworks, context engineering, and scalable system design for AI products
Expertise designing products integrating multiple technologies, APIs, and data sources in cloud-native environments
AWS preferred
Strong desire to develop hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
Proven ability to lead technical product initiatives, establish technical standards, and communicate complex system designs to technical and business stakeholders
Experience building production chatbots or conversational AI products
Background in system integration, API design, or enterprise software platforms
Familiarity with accounting workflows and financial data processing
Experience with AI observability, debugging tools, and production AI monitoring
Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques
Knowledge of reinforcement learning from human feedback (RLHF) or other reinforcement learning techniques
Experience building AI platform components such as embedding pipelines, semantic search systems, or multimodal processing frameworks

Benefits

Comp & perks

Best Place to Work recognition and employee workplace programs
Equal opportunity employment and inclusive workplace