About the Role:
As a Senior Full Stack Engineer, you’ll be joining our core product development team to architect and build modern, scalable systems that power these intelligent agents. This is an opportunity to work across the stack — building robust backend APIs, sleek frontend interfaces, and deeply integrated systems that scale across both SaaS and enterprise deployments.
If you thrive in ambiguity, enjoy taking ownership, and are excited to build future-defining platforms from the ground up, this role is for you.
What You’ll Do:
- Design, build, and maintain RESTful and GraphQL APIs to power modular Agentic platform components (e.g., Agents, Workflows, Deployments).
- Build and contribute to microservices architecture with a focus on scalability, modularity, and observability.
- Implement authentication, authorization, and multi-tenant-aware logic at both backend and frontend layers.
- Collaborate with AI engineers, DevOps, and frontend developers to deliver seamless, integrated systems.
- Contribute to frontend development of dashboards and tools using modern web frameworks.
- Containerize and manage services using Docker, and support CI/CD pipelines in collaboration with DevOps.
- Integrate with external systems: databases, vector stores, LLM APIs, and third-party SaaS tools.
- Write clean, testable code with a strong emphasis on unit/integration testing and peer code reviews.
- Monitor and debug performance issues across backend and frontend systems in production.
What We’re Looking For:
- 3–5 years of experience building modern full stack applications.
- Strong proficiency in Node.js, Python, Go, or similar backend languages.
- Solid frontend experience using React, Next.js, or other modern frameworks.
- Deep knowledge of API standards (REST/GraphQL), JSON payloads, versioning, rate limiting, and documentation (Swagger/OpenAPI).
- Experience with PostgreSQL, MongoDB, or similar databases.
- Proficient in Docker, with working knowledge of Kubernetes.
- Familiar with event-driven or asynchronous architectures (e.g., Kafka, RabbitMQ).
- Strong understanding of security: OAuth2, JWT, RBAC.
- Experienced with Git, Agile methodologies, and tools like Jira and Confluence.
Good to Have:
- Prior experience with AI/ML platforms, agent frameworks, or LLM pipelines.
- Familiarity with serverless architecture (e.g., AWS Lambda, API Gateway).
- Experience building multi-tenant SaaS platforms.
- Exposure to vector databases, semantic search, or embedding-based data systems.
- Integrated with platforms like Salesforce, HubSpot, Slack, etc.
- Contributions to open-source tools or backend/frontend libraries.
Why Join Us?
- Be a Pioneer: Join a fast-paced startup shaping the foundation of next-gen AI infrastructure.
- Massive Impact: Influence how users and businesses interact with intelligent, autonomous agents.
- Ownership & Autonomy: Drive product and platform architecture with real decision-making power.
- Top-Tier Talent: Collaborate with visionary founders, technologists, and AI thinkers.
- Future-Focused: Work with cutting-edge tools, ideas, and architectures in the AI-native era.
- Flexibility & Growth: Experience a flexible work culture, flat hierarchy, and career scaling opportunities as the company grows.
