Senior Full-Stack Engineer (Backend), Agentic AI Applications

About the Role We're seeking a Senior Full-Stack Engineer focusing on Backend Engineering with strong software engineering expertise to build next-generation enterprise SaaS applications powered by agentic AI and large language models.

You'll work at the intersection of modern enterprise SaaS and cutting-edge AI, focusing primarily on robust backend systems while contributing to full-stack development.

This role transforms financial back-office operations through scalable, intelligent solutions with emphasis on data-intensive architectures, API integrations, and AI model orchestration.

Key Responsibilities * Architect and implement scalable backend services using Python, Node.js (TypeScript), and/or GoLang, handling AI model interactions, multi-agent orchestration, and data processing.

* Develop and optimize RESTful and gRPC APIs for seamless communication between frontend, backend, AI models, and multi-agent systems.

* Design AI-native full-stack applications integrating LLMs using modern protocols (MCP, A2A) with backend-centric approach for efficient data flows.

* Build performant database queries, indexing strategies, and schema designs across SQL (MySQL), NoSQL (MongoDB Atlas), and data warehouses (Snowflake). * Implement advanced search capabilities including Atlas text searches and embedding-based retrieval for AI-enhanced features.

* Design AI-native workflow management systems enabling complex agentic automation for financial operations.

* Collaborate with AI engineers to integrate and optimize model deployments, focusing on backend scalability and production performance.

* Implement and maintain CI/CD pipelines using Kubernetes and GPU resources.

* Ensure high performance, reliability, and security of AI-integrated backend features including real-time data processing.

* Contribute to frontend development as needed using React.js for AI-powered interfaces and visual workflow designers.

Qualifications * Bachelor's or Master's in Computer Science, Engineering, or related field.

* 5+ years full-stack development experience with strong backend focus using Node.js (TypeScript) and Python.

* Hands-on experience building backend-heavy applications integrating with LLMs (GPT models) or generative AI.

* Proficient with prompt engineering and LLM fine-tuning concepts.

* Strong understanding of Kubernetes microservices architecture, REST APIs, and gRPC.

* Proficiency in modern Python, JavaScript/TypeScript, and associated ecosystems.

* Experience with AWS cloud services, deploying and scaling AI/ML workloads.

* Solid foundation in system design, data modeling, and databases: * RDBMS (MySQL): query optimization, indexing, transactions * NoSQL (MongoDB Atlas): schema design, aggregation pipelines, text search * Data warehouses (Snowflake): performant querying, data modeling * Understanding of AI/ML concepts, particularly agentic AI applications.

* Experience with multi-tenant SaaS architectures and enterprise system integrations.

* Familiarity with API management tools like Postman.

* Demonstrated experience in complex projects with cross-team collaboration using APIs, microservices, and agile methodologies.

* Must be currently authorized to work in the United States without employer sponsorship, as we are unable to sponsor or transfer visas for this position.

* Must be located in or within commuting distance of Santa Clara, CA to be considered.

Preferred Qualifications * Experience implementing AI-native architectures using MCP (Model Context Protocol) and A2A (Agent-to-Agent). * Proficiency with MongoDB Atlas text searches and embedding-based search systems (vector databases). * Experience with real-time data processing using AWS Kinesis or Kafka.