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 andAI-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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