Full Stack Engineer (AI)
Experience: 3–5 Years
Role Overview
We are looking for a talented and hands-on Full Stack Engineer (AI) to design, build, and maintain scalable software systems and AI-powered product experiences. The ideal candidate will have strong experience across modern full stack development, with a solid understanding of building reliable AI workflows, testing systems, and production-grade applications.
This role requires a balance of software engineering excellence, AI system design, quality engineering, and strong communication skills to collaborate effectively across technical and non-technical teams.

What We’re Looking For

Proven experience in designing and building scalable, reliable, and maintainable software systems.
Strong proficiency in modern web development technologies such as React.js, TypeScript, and Node.js.
Deep understanding of browser architecture and frontend performance considerations.
Experience building LLM-powered workflows, including:
- Retrieval-Augmented Generation (RAG)
- Tool calling
- Structured outputs
- Agent-based workflows
- Human-in-the-loop patterns
Experience creating evaluation pipelines using:
- Golden datasets
- Regression tests
- Deterministic evaluators
- LLM-as-a-judge approaches
Ability to implement observability, monitoring, guardrails, fallbacks, and validation for dependable AI systems.
Strong judgment in balancing model quality, latency, reliability, maintainability, and cost.
Hands-on experience with automated testing across unit, integration, and end-to-end layers.
Familiarity with test automation frameworks, CI/CD pipelines, and infrastructure concepts.
Solid understanding of agile engineering practices and software delivery workflows.
Strong troubleshooting and debugging skills, with the ability to analyze complex system behavior, logs, and root causes.
Excellent communication skills with the ability to explain technical trade-offs, risks, and quality standards to diverse stakeholders.

Key Responsibilities

Design and develop full stack applications with a focus on scalability, performance, and maintainability.
Build and integrate AI/LLM features into production systems.
Develop robust RAG and agent-based workflows to support intelligent product experiences.
Create and maintain evaluation frameworks to measure AI system quality and stability.
Implement monitoring, guardrails, and fallback mechanisms to ensure safe and reliable AI behavior.
Write clean, testable code and contribute to automated testing and CI/CD improvements.
Collaborate with product managers, designers, engineers, and other stakeholders to deliver high-quality solutions.
Debug production and development issues efficiently and provide root cause analysis.
Maintain technical documentation and support knowledge sharing across teams.

Preferred Qualifications

Experience shipping AI-driven products in production environments.
Exposure to cloud platforms, containers, and modern deployment practices.
Familiarity with prompt engineering, model selection, and AI system evaluation.
Experience working in cross-functional, agile teams.

Soft Skills

Strong ownership and accountability
Collaborative mindset
Problem-solving attitude
Ability to work in fast-paced environments
Clear verbal and written communication

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