We are seeking a Principal Engineer to join the founding team of our Performance Affiliate Network platform. This is a high-impact role where you will lead architecture decisions, own system-level technical strategy, and deliver key features across an AI-integrated affiliate tech stack. You'll work closely with Product, Growth, and other engineering teams to build resilient systems that scale for use cases like agent-based automation, channel integrations, and data ingestion.
Responsibilities- Design and develop full-stack features using TypeScript (NestJS, NextJS, React) and Python.
- Lead the implementation of microservices and event-driven orchestration patterns to support data-rich, real-time affiliate workflows.
- Architect and deploy AI agent systems using frameworks like LangChain, custom RAG pipelines, and vector databases.
- Build and maintain web scraping pipelines using Apify or custom frameworks, ensuring reliability, throughput, and compliance.
- Integrate bots and connectors across messaging and web platforms (e.g., Discord, Telegram).
- Ensure observability (metrics, logs, traces), CI/CD health, and secure cloud infrastructure (AWS + Terraform, GitHub Actions, Argo CD).
- Drive internal technical quality through unit testing (≥ 80% coverage), functional testing, and end-to-end testing, while actively managing critical technical debt.
- Collaborate with the Tech Lead and non-technical teams through pair programming, reviews, and demos.
- Evaluate and incorporate emerging technologies in AI, LLMs, and automation to continuously improve product capabilities.
Requirements- 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).
- Hands-on experience with AI agent frameworks (e.g., LangChain), vector stores, and RAG workflows.
- Proven ability to design and deploy scalable scraping systems using tools like Apify.
- Familiarity with messaging or bot development ecosystems (e.g., Discord.js, Telegraf).
- Solid understanding of relational (PostgreSQL) and non-relational (e.g., MongoDB) databases; comfortable modeling for both transactional and unstructured data.
- Experience building event-driven architectures using Kafka, Kinesis, RabbitMQ, or similar.
- Strong debugging, profiling, and performance optimization skills across the full stack.
- A degree in Computer Science, Engineering, or a related technical field is preferred
Nice to Have
- Experience in affiliate, fintech, gaming, or other high-compliance domains.
- Exposure to LLMs, embeddings, vector search (e.g., Pinecone), and tool/agent chaining logic.
- Familiarity with observability tooling (Grafana, Prometheus, DataDog) and incident response practices.
- Knowledge of privacy, data compliance, and secure coding standards (e.g., GDPR, ISO 27001).
- Proficiency with CI/CD, infrastructure-as-code (Terraform), and cloud-native deployment on AWS.
- Contributions to open-source AI or development projects.
Find.co is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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