Full-Stack Software Engineer - AI&ML integration

About the Role :

Key Responsibilities :

Full-Stack Development

• Design, develop, and deliver full-stack features from technical specifications through deployment.
• Build and maintain backend services using Python and modern frameworks such as FastAPI.
• Develop and maintain transactional backend services using TypeScript and Node.js frameworks, preferably NestJS.
• Build responsive and scalable user interfaces using React and Next.js.
• Work across APIs, database schema changes, backend services, frontend applications, and production rollouts.

Backend & API Development

• Design and maintain scalable Python services for processing workflows and application functionality.
• Build and maintain RESTful APIs with strong request validation and error handling.
• Develop asynchronous and message-driven workflows using technologies such as Google Cloud Pub/Sub, Kafka, SQS, or similar platforms.
• Ensure systems are designed with appropriate handling for retries, idempotency, and failed message processing.
• Write clean, reliable, fault-tolerant, and well-tested Python, TypeScript, and SQL code.

Database & Application Architecture

• Design and manage relational database schemas, preferably using PostgreSQL.
• Work with database migrations, indexing, query optimization, and performance tuning.
• Use modern ORM technologies such as SQLAlchemy, TypeORM, Prisma, Drizzle, or similar tools.
• Contribute to scalable application architecture and maintain clear boundaries between services and application components.
• Support authentication, authorization, and secure access control using OAuth/OIDC, JWT, RBAC, ACLs, Firebase Auth, or equivalent technologies.

Frontend Development

• Build and maintain modern web applications using React and Next.js.
• Develop accessible, responsive, and user-friendly interfaces.
• Work with modern frontend development and validation tools to deliver reliable user experiences.

Cloud & DevOps

• Deploy and manage applications on cloud infrastructure, preferably Google Cloud Platform (GCP).
• Work with cloud services such as Cloud Run, Cloud SQL, Cloud Storage, and Pub/Sub.
• Use Docker and CI/CD pipelines to support reliable application deployment and delivery.
• Implement logging, monitoring, metrics, and alerts to support production systems.

AI & Modern Development Practices

• Work with AI-powered applications and gain exposure to LLM and agent frameworks.
• Support the integration of AI services, tools, and long-running processing workflows into production applications.
• Use AI-assisted development and coding tools to improve productivity, code quality, testing, and development workflows.
• Follow engineering best practices including code reviews, testing, documentation, and knowledge sharing.

Collaboration

• Work closely with Product Managers, Designers, Engineers, and other stakeholders to translate business requirements into scalable technical solutions.
• Communicate technical decisions, trade-offs, and risks clearly to both technical and non-technical stakeholders.
• Take ownership of features and contribute throughout the complete software development lifecycle.

Required Skills & Experience :

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience building and supporting production web applications.
• Strong hands-on experience with Python, including building and operating backend services using FastAPI or similar frameworks.
• Good experience with TypeScript and a Node.js backend framework such as NestJS, Express, or Fastify.
• Experience building frontend applications using React and Next.js or similar frameworks.
• Strong knowledge of relational databases, preferably PostgreSQL, including schema design, migrations, indexing, and performance optimization.
• Experience with REST API design, request validation, authentication, and authorization.
• Hands-on experience with asynchronous and message-driven architectures using Pub/Sub, Kafka, SQS, or similar technologies.
• Experience deploying applications on at least one major cloud platform; GCP experience is preferred.
• Working knowledge of Docker and CI/CD pipelines.
• Exposure to LLMs, AI applications, or agent frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or similar technologies.
• Experience using AI-assisted coding tools as part of the software development workflow.
• Strong problem-solving, communication, and collaboration skills.

Preferred Skills :

• Experience building multi-tenant SaaS applications with tenant isolation and role-based access control.
• Experience designing and operating event-driven architectures.
• Deeper experience with LLM and agent-based systems, including tool calling, guardrails, observability, and human-in-the-loop workflows.
• Experience working with multiple AI model providers and managing streaming, structured outputs, and API usage.
• Experience with production monitoring and observability tools such as Cloud Monitoring, OpenTelemetry, or Sentry.
• Experience working on large-scale e-commerce, SaaS, or digital product platforms.
• Contributions to open-source projects or a strong public engineering portfolio.

What We’re Looking For :

• A strong full-stack engineer with a backend-first mindset and deep Python expertise.
• Someone comfortable owning features from technical design through production deployment.
• A developer who can work across backend services, databases, cloud infrastructure, and frontend applications.
• A professional with an interest in modern AI-powered applications and scalable software engineering practices.
• A collaborative engineer who can work effectively across product, design, and engineering teams.

Equal Opportunity :