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Senior Full-Stack Engineer (Backend), Agentic AI Applications
Santa Clara, USAPosted 4 months ago
Full-timehybrid
Job Description
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.