Full Stack Engineer
thatgamecompanyFull Time
Junior (1 to 2 years)
Candidates should have 5+ years of full-stack experience building and scaling production-grade web platforms. Expertise in TypeScript (Node.js, NestJS, React) and proficiency in Python (FastAPI) are required. Hands-on experience with AI agent frameworks like LangChain, vector stores, and RAG workflows is necessary. Proven ability to design and deploy scalable scraping systems using tools like Apify is needed. Familiarity with messaging or bot development ecosystems, solid understanding of relational and non-relational databases, and experience building event-driven architectures are essential. Strong debugging, profiling, and performance optimization skills across the full stack are also required. A degree in Computer Science, Engineering, or a related technical field is preferred.
The Principal Engineer will lead architecture decisions and own system-level technical strategy for an AI-integrated affiliate tech stack. They will design and develop full-stack features using TypeScript and Python, and lead the implementation of microservices and event-driven orchestration patterns. Responsibilities include architecting and deploying AI agent systems, building and maintaining web scraping pipelines, and integrating bots and connectors across messaging and web platforms. The role involves ensuring observability, CI/CD health, and secure cloud infrastructure, as well as driving internal technical quality through testing and managing technical debt. Collaboration with the Tech Lead and non-technical teams through pair programming, reviews, and demos is expected, along with evaluating and incorporating emerging technologies in AI, LLMs, and automation.
Provides insights into customer operations workflows
Fin provides tools for companies to gain immediate insights into the performance of their customer operations teams across various software applications. Their main product is a browser plugin that tracks and analyzes workflows, allowing businesses to see how their customer experience (CX) processes function in real-time. This data helps organizations identify best practices from top-performing teams, optimize their processes, enhance agent training, and make informed decisions about technology investments. Unlike competitors, Fin focuses on delivering detailed, actionable insights that support continuous improvement in customer operations.