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Staff Software Engineer, AI

FloQast
Pune, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
PythonGoAWSAPIs
Free

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Full Job Posting

  • 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 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
  • Master 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 leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance
  • 10+ years of professional software engineering experience with 4+ years focused on building backend for production applications
  • Mastery of Python, Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
  • Expertise in 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 lead tech product initiatives, establish technical standards and communicate complex system designs to both 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 for improving AI product performance
  • Experience building AI platform components like embedding pipelines, semantic search systems, or multi-modal processing frameworks

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