Lead/Senior Full Stack AI Engineer

Overview This range is provided by Thought Industries. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range $130,000.00/yr - $150,000.00/yr Job Description A Senior/Lead AI Engineer is a hands-on engineering position that combines deep technical expertise with advanced AI tool proficiency to accelerate development and lead complex integration efforts within our Next.js/TypeScript codebase. This role requires someone who can leverage cutting-edge AI models and tools to architect and build sophisticated survey platform integrations (Medallia, SurveyMonkey, Typeform, etc.), design scalable job orchestration systems using Inngest, and create AI agents that effectively extract and analyze survey data into actionable insights. They will be a critical partner to our product team, aligning roadmaps and translating product goals into robust, well-architected solutions. They operate with a product-led growth mindsetbuilding self-serve, instrumented experiences that drive activation, retention, and expansion. This role is remote and reports to the Director of Engineering. Core Responsibilities Architect and implement survey platform integrations (Medallia, SurveyMonkey, Typeform, Qualtrics, etc.) using AI-assisted development. Design and build scalable job orchestration systems using Inngest for processing survey data, scheduling syncs, and managing complex workflows. Leverage AI tools (Cursor, Claude, etc.) to achieve 10x development productivity across the full stack. Build AI agents that extract, normalize, and analyze survey response data from multiple platforms into unified metrics and insights. Make technical decisions for data pipeline architecture, ensuring efficient processing of large-scale survey datasets. Engineer sophisticated prompts for extracting sentiment, themes, and actionable insights from unstructured survey responses. Implement robust error handling and retry mechanisms for job systems handling critical survey data synchronization. Contribute substantially to our Next.js/React codebase with a focus on server components and streaming UI patterns. Build and optimize serverless functions on Vercel for real-time survey data processing and webhook handling. Establish data quality standards and validation processes for survey integrations within your domain. Participate in code reviews with a focus on AI-assisted code quality, architecture, and performance. Collaborate with team members to share AI development techniques and prompt engineering strategies. Work with product teams to define technical requirements for new survey integrations and features. Monitor and optimize job performance, ensuring SLAs are met for data freshness and processing times. Stay current with survey platform APIs, job orchestration patterns, and AI advancements in data processing. Define and instrument PLG funnels (activation, retention, expansion) in collaboration with product and growth, using tools like PostHog. Ship self-serve onboarding and in-product guidance for integrations to reduce time-to-value. Qualifications 8+ years of full-stack development experience with modern TypeScript/JavaScript frameworks. 2+ years of experience building and maintaining job orchestration systems (Inngest, Airflow, Temporal, Bull, etc.). Experience integrating with survey platforms (Medallia, SurveyMonkey, Typeform, Qualtrics) or similar third-party APIs at scale. 2+ years of hands-on experience using AI tools for software development (Cursor, Claude, ChatGPT, etc.) with demonstrated productivity gains. Experience operating in a PLG environment: instrumentation, experimentation, and optimizing activation/retention loops. Familiarity with growth analytics tooling and methodologies (e.g., PostHog events, cohort analysis, funnel tracking). Strong data engineering fundamentals: ETL pipelines, data normalization, schema design, and handling large datasets. Proven track record of building production applications with Next.js, React, and TypeScript in serverless environments. Deep understanding of job scheduling, queue management, error handling, and retry strategies for distributed systems. Strong prompt engineering skills with experience extracting insights from unstructured text data. Experience with webhook processing, API rate limiting, and building resilient third-party integrations. Proficiency with PostgreSQL and modern ORMs (Drizzle, Prisma) including query optimization and database design. Understanding of data quality metrics, validation strategies, and monitoring for data pipelines. Experience with event-driven architectures and real-time data processing patterns. Knowledge of survey methodology and common survey data structures (matrix questions, branching logic) is a plus. Strong communication skills for technical documentation and cross-team collaboration. Experience with serverless platforms (Vercel, AWS Lambda) and understanding of cold start optimization. Familiarity with different AI model capabilities for text analysis, sentiment detection, and theme extraction. Understanding of AI model selection based on use cases, cost, and performance requirements. Self-directed learner who stays current with AI advancements and can evaluate new tools effectively. Bonus: Experience with data visualization and building insights dashboards. Bonus: Background in market research, customer experience, or survey analytics. Bonus: Contributions to open-source projects related to job orchestration or data pipelines. Additional Information All your information will be kept confidential according to EEO guidelines. Thought Industries does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. Employment decisions at Thought Industries are based on merit, qualifications, and abilities. Seniority level Mid-Senior level Employment type Full-time Job function Production, Distribution, and Engineering #J-18808-Ljbffr