Software Engineer (Full Stack + AI/LLM Integrations)

About the role

We’re looking for a Full Stack Software Engineer who can build and ship modern web applications end-to-end—front end, backend APIs, databases, deployments—and who also understands how to design systems that scale. You’ll be building production-ready services on Google Cloud Platform (GCP), integrating third-party APIs, and developing AI-enabled capabilities (LLMs/agents and computer vision) that deliver real value.

What you’ll do

• Build user-facing features using Next.js or modern JavaScript frameworks (React preferred).
• Design and implement backend services and RESTful APIs using Node.js, following REST best practices (versioning, pagination, auth, error handling, observability).
• Apply best practices for building scalable full stack applications, including:
• clean architecture and modular codebases
• performance optimization (frontend + backend)
• caching and efficient data access patterns
• reliability practices (timeouts, retries, idempotency)
• monitoring, logging, and alerting
• Own database design: data modeling, schema design, indexing, query performance, and migrations.
• Work with ORMs (especially Prisma) and databases like PostgreSQL and MongoDB.
• Deploy and operate services on Google Cloud Platform (GCP) with a focus on reliability, scalability, and cost awareness, including:
• Cloud Run deployments
• Google Cloud Load Balancing (traffic routing, SSL/TLS, scaling considerations)
• API Gateway (secure exposure of services, routing, policies, auth)
• Collaborate on AI-driven features using Vertex AI and related tooling.
• Build workflows and integrations using n8n (automation, event-driven flows, webhooks, scheduling, retries).
• Read API documentation, integrate third-party services, and troubleshoot integration issues end-to-end.
• Use Postman extensively for API development and testing (collections, environments, auth flows, automated test scripts).
• Contribute to AI/ML functionality including:
• practical understanding of LLMs and agent-based systems (tool use, function calling, RAG, evaluation)
• experience with computer vision workflows (data prep, inference pipelines, model integration)
• exposure to fine-tuning/training workflows (or partnering closely with ML engineers to productionize them)
• Write and maintain automated tests, with emphasis on end-to-end testing and quality gates in CI/CD.
• Work in an Agile environment using tools like Jira or Asana (planning, estimation, sprint execution, documentation).

Required qualifications

• Strong hands-on experience in full stack development:
• Frontend: Next.js and/or React (or similar modern JS framework)
• Backend: Node.js with API design and implementation experience
• Demonstrated ability to design and build scalable full stack applications (performance, reliability, maintainability).
• Solid understanding of REST APIs, security fundamentals, and integration patterns.
• Strong experience with Postman for API testing and development.
• Database expertise: schema design + hands-on work with PostgreSQL and/or MongoDB.
• Experience with Prisma (or similar ORM) and data modeling best practices.
• Experience deploying and operating production services on GCP, including:
• Cloud Run
• Google Cloud Load Balancer
• API Gateway
• Working knowledge of Vertex AI (or comparable ML platform) and how AI capabilities are integrated into applications.
• Working knowledge of n8n and building reliable automation workflows.
• Ability to read and implement against external API docs, integrate multiple services, and debug failures.
• Strong programming skills in Java, JavaScript, and Python (must-have).
• Familiarity with Agile delivery and tools such as Jira/Asana.
• Strong testing mindset: unit/integration testing plus E2E testing (e.g., Playwright/Cypress/Selenium).

Nice to have

• Experience with authentication/authorization (OAuth2, JWT), rate-limiting, and API gateways.
• Observability experience (structured logging, tracing, metrics; OpenTelemetry, Cloud Logging, etc.).
• Experience with LLM evaluation, prompt/version management, RAG pipelines, vector databases, and safety/guardrails.
• CI/CD experience (GitHub Actions, GitLab CI, Cloud Build) and infrastructure-as-code (Terraform).
• Performance tuning across frontend, backend, and database layers.

Tech stack (example)

• Frontend: Next.js, React, TypeScript
• Backend: Node.js (Express/Fastify/NestJS), REST APIs
• DB: PostgreSQL, MongoDB, Prisma
• Cloud: Google Cloud (Cloud Run, Load Balancer, API Gateway, Vertex AI)
• Automation: n8n
• Testing: Postman + Playwright/Cypress + integration tests
• Process: Agile, Jira/Asana

Job Types: Full-time, Part-time

Benefits:

• Casual dress
• Company events
• Dental care
• On-site parking
• Paid time off
• Store discount

Work Location: In person

Pay: $40,000.00-$60,000.00 per year

Benefits:

• Casual dress
• Company events
• Dental care
• Extended health care
• On-site parking
• Paid time off
• Store discount
• Vision care

Work Location: In person