Job Description

Requirements:

• 3+ years of experience building production-grade web applications across both backend and frontend.
• Strong proficiency in Python, preferably with Django (or a comparable framework), and experience designing RESTful APIs.
• Solid experience with React, including component-based architecture, state management, and modern build tools such as Vite.
• Hands-on experience with agentic AI and LLMs, including model APIs, prompt engineering, orchestration frameworks (e.g., LangGraph, LangChain, or similar), and tool calling or MCP.
• Experience with DevOps practices on a major cloud platform, including containerized deployments, managed databases, secrets management, and CI/CD pipelines.
• Experience with GCP (Cloud Run and Cloud SQL) is a strong plus.
• Strong SQL skills and a solid understanding of data modeling, particularly with PostgreSQL.
• An ownership mindset, with the ability to thrive in an early-stage environment with shifting priorities and high impact.
• Experience working with the advertising and marketing data ecosystem, including Google Ads, Meta Ads, and GA4.
• Familiarity with the Model Context Protocol (MCP) and tool-augmented AI agents.
• Experience with TypeScript, Cloudflare, observability tools (e.g., Datadog), or background task systems.
• Experience working on a multi-tenant B2B SaaS product.

Responsibilities:

• Build end-to-end features by designing Django models and APIs, then bringing them to life in the React/Vite frontend.
• Work on our agent layer by integrating and orchestrating LLM-driven workflows with LangGraph, while connecting tools and data sources through MCP.
• Develop and maintain integrations with Google Ads, Meta Ads, GA4, and Search Console, including OAuth flows and API quota management.
• Own deployments on GCP by shipping services to Cloud Run, managing Cloud SQL and secrets, and ensuring a reliable deployment pipeline.
• Improve system performance and reliability by profiling bottlenecks, optimizing databases and connection pooling, and hardening the platform as it scales.
• Collaborate with the product team to turn ambiguous requirements into shipped features and participate in code reviews.