FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and scaling AI products, with a strong focus on Python programming, AI application frameworks, and system design for production applications. Proven ability to integrate diverse technologies and APIs while ensuring compliance and alignment with business objectives.
Highest-signal resume keywords
Python ProgrammingAI Application FrameworksScalable System DesignChatbot DevelopmentAWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringBackend DevelopmentContext EngineeringAPI DesignDocument ProcessingMulti-Turn Conversation ManagementAI ObservabilityRetrieval-Augmented GenerationReinforcement LearningEmbedding Pipelines
Soft Skills
Technical GuidanceMentorshipCommunication
Tools & Technologies
Cloud-Native EnvironmentsMCP IntegrationsDebugging ToolsProduction Monitoring
Industry Keywords
Accounting WorkflowsFinancial Data ProcessingSystem Integration
Tech Stack
Tools & technologiesAssemblyAWSCloudPython
About the role
Key responsibilities & impact- Architect, build, and scale AI products powering FloQast’s accounting automation platform
- Lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
- Design and implement centralized AI platform components including model routing, provider management, vector search, AI application frameworks, and MCP integrations
- Build scalable AI products integrating accounting systems, document repositories, and external APIs
- Maintain robust monitoring and observability
- Implement context engineering and system design for AI applications, including 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 guidance and mentorship to engineers on the AI team
- Contribute to FloQast’s company-wide AI technical direction, platform, and standards
Requirements
What you’ll need- 7+ years of professional software engineering experience
- 3+ years focused on building backend for production applications
- Strong proficiency in Python
- 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 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 technical and business stakeholders
- Experience building chatbots or conversational AI products in production
- 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 RL techniques
- Experience building AI platform components such as embedding pipelines, semantic search systems, or multi-modal processing frameworks
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Family Forming benefits
- Life & Disability Insurance
- Unlimited Vacation