Hello,
My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website .
If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position
AI-Enabled Full-Stack Engineer
Location: Mountain View , CA hybrid 3 days a week
Role Overview
We are looking for a versatile AI-Enabled Full-Stack Engineer to bridge the gap between traditional web development and modern artificial intelligence. You will own features end-to-end - from the user interface and backend APIs to LLM integration, retrieval-augmented generation (RAG), and agent workflows. This is an applied AI role focused on rapid, reliable product delivery rather than foundational model training.
Key Responsibilities
- End-to-End Development: Design and build scalable web features using modern frontend and backend stacks (e.g., TypeScript, React, Next.js, Python, FastAPI, Java, Spring Boot).
- Applied AI Integration: Integrate Large Language Model (LLM) APIs, vector search, and RAG architectures into production user flows.
- Agent & Tool Workflows: Build custom AI agents, manage context windows, and implement structured tool invocation or Model Context Protocol (MCP) interfaces.
- AI Reliability & Guardrails: Design for AI failure modes, latency constraints, token cost tracking, hallucination mitigation, and observability.
- AI-First UX: Collaborate with product and design teams to craft intuitive, responsive, and AI-driven user experiences.
- Production Deployment: Containerize and scale services using Docker and Kubernetes (K8s) on cloud platforms (AWS/Azure/Google Cloud Platform), with automated CI/CD pipelines.
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Required Qualifications & Skills
- Experience: 5+ years of professional full-stack software development experience.
- Frontend & Backend: Strong proficiency in JavaScript/TypeScript, modern UI frameworks (React, Next.js), and backend services (Node.js, Python, Java, Spring Boot).
- AI/ML Tooling: Hands-on experience integrating LLM APIs, prompt engineering, vector databases, and RAG frameworks.
- System Architecture: Solid understanding of RESTful APIs, relational/NoSQL databases, and cloud-native microservices.
- Cloud & Infrastructure: Hands-on experience with AWS and container orchestration using Kubernetes (K8s), including deploying and scaling production workloads.
- Production Mindset: Familiarity with AI observability, security guardrails, cost optimization, and evaluation metrics.
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