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As we continue to grow, we are looking for a Senior Full Stack SWE to join our team to drive the architectural evolution of our platform into a fully agentic system. You will be at the forefront of transforming the marketing industry, building the core infrastructure that powers a new class of intelligent tools that move beyond simple automation. This is a hands-on technical role where you'll inform pivotal architectural decisions that define our product's future. You will architect the critical services and experiences that allow our AI agents to execute complex, multi-step tasks directly within our SaaS platform. You will solve the novel engineering challenges inherent in AI-native applications.
Job Responsibility:
Build the architecture and development of scalable, resilient backend microservices and deploy them within our AWS infrastructure
Build and enhance our user-facing platform with modern React, TypeScript, and Next.js creating intuitive interfaces that seamlessly integrate complex, AI-driven features
Design and implement the core technical infrastructure to support our AI agents, including API gateways, state management systems for agentic workflows, and observability into AI operations
Integrate and orchestrate various LLM models and services to connect our AI's reasoning to our backend systems and data stores
Develop and optimize data architectures using relational and vector databases to provide our agents with fast, relevant context for memory and RAG
Leverage a suite of AWS services to build, deploy, and monitor our AI-native applications
Apply engineering best practices and processes to support the technical vision for the platform
Requirements:
7+ years of professional software engineering experience, with a strong portfolio of building and scaling SaaS applications
Expert-level proficiency with Java/Spring Boot backend development and React/TypeScript frontend development
Demonstrated expertise in designing, deploying, and managing cloud-native applications on AWS
Proven experience integrating AI/ML models and third-party APIs into a production software environment
Strong architectural skills and a deep understanding of distributed systems, microservice patterns, and event-driven design
Proficiency with relational databases and SQL
A pragmatic approach to engineering, with a solid understanding of the trade-offs between performance, cost, and scalability in AI systems
A passion for mentoring and elevating the skills of the entire engineering team
Nice to have:
Advanced proficiency in HTML, CSS, and JavaScript for SPAs
Experience developing SaaS products in a commercial setting
Background in digital media, online advertising, or analytical applications
Experience managing large-scale SQL databases
Experience with Generative AI technologies such as OpenAI, LangChain, and Amazon Bedrock
Hands-on work with Model Context Protocol (MCP) and integrating AI capabilities into full-stack applications
Experience with vector databases or search services is highly desirable
What we offer:
Uncapped growth potential
The chance to have a meaningful impact on the company
The opportunity to work on cutting-edge, AI-powered marketing data and identity solutions
Competitive 401(k) match
Open PTO policy that encourages real time off
Comprehensive benefits package designed to meet the diverse needs of our employees and their families