Full-Stack AI Engineer

Pavago

full-time

Posted on: 9/17/2025

Origin: • 🇵🇰 Pakistan

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Mid-LevelSenior

AWSAzureDockerGoogle Cloud PlatformGrafanaGraphQLJavaScriptKubernetesNext.jsNode.jsPostgresPrometheusReactRedisTypeScript

About the role

Build scalable, high-performance apps using Next.js, React.js, TypeScript, TailwindCSS/ShadCN/Radix UI
Implement backend services with Node.js, Express.js/NestJS, REST APIs, and GraphQL
Design data models and work with Supabase and PostgreSQL using Prisma ORM
Implement Row-Level Security (RLS) and integrate pgvector for AI-powered search
Use Redis for caching and session management
Build secure authentication systems (OAuth2, JWT, RBAC, SSO/SAML) and support multi-tenant SaaS architecture
Integrate AI/ML capabilities using OpenAI, LangChain, HuggingFace, RAG, embeddings, and NLP tools for intelligent recruiting workflows
Deploy and operate infrastructure using Docker, Kubernetes, AWS/GCP/Azure, Vercel/Netlify
Automate delivery with CI/CD pipelines and monitor systems with Prometheus, Datadog, Grafana
Implement Stripe subscriptions, billing, feature flagging, and analytics integrations
Ensure security and compliance (data encryption, secure storage, GDPR, SOC2 readiness)

3+ years of full-stack development experience in SaaS
Strong proficiency with Next.js, React.js, Node.js, TypeScript
Experience designing APIs and integrating databases at scale
Experience with PostgreSQL, Supabase, Prisma ORM
Experience with Row-Level Security (RLS) and pgvector for AI search
Experience with Redis for caching and sessions
Knowledge of authentication and multi-tenancy: OAuth2, JWT, RBAC, SSO/SAML
Understanding of multi-tenant SaaS architecture and security best practices
Exposure to AI/ML APIs and tooling: OpenAI, LangChain, HuggingFace
Experience or interest in RAG, embeddings, fine-tuning, NLP (spaCy/NLTK)
Experience with Docker, Kubernetes, and cloud providers (AWS/GCP/Azure)
Experience with deployment platforms (Vercel/Netlify) and CI/CD pipelines
Familiarity with monitoring and observability: Prometheus, Datadog, Grafana
Experience with payments and SaaS essentials: Stripe subscriptions, billing, feature flagging, analytics (PostHog/Segment/Amplitude)
Familiarity with security and compliance considerations: GDPR, SOC2, (HIPAA future)
Nice-to-have: LangChain, HuggingFace, RAG, Kubernetes, Stripe, ATS integrations (Greenhouse, Lever, Workday, LinkedIn)
Startup mindset: ownership, problem-solving, and willingness to learn fast