AI-Enabled Full-Stack Engineer

TestingXperts Inc. DBA Damcosoft; Mountain View (CA); Hybrid; USD 140,000 - 180,000; Full time

Job summary

TestingXperts Inc. DBA Damcosoft is seeking an AI-enabled Full-Stack Engineer in Mountain View, CA. You will own features end-to-end, bridging traditional web development with AI integration, including LLM APIs, RAG, and agent workflows.

Role focuses on rapid product delivery rather than training, with production deployment using Docker and Kubernetes across cloud platforms. 5+ years in full-stack dev and strong TypeScript/React skills are required.

Qualifications

• 5+ years of professional full-stack software development experience.
• Strong proficiency in JavaScript/TypeScript, React/Next.js, and backend services (Node.js, Python, Java, Spring Boot).
• Hands-on experience integrating LLM APIs, prompt engineering, vectors, and RAG workflows.

Responsibilities

• End-to-End Development: design and build scalable web features using modern stacks.
• Applied AI Integration: integrate LLM APIs, vector search, and RAG into production user flows.
• Agent & Tool Workflows: build AI agents, manage contexts, and implement Model Context Protocol interfaces.
• AI Reliability & Guardrails: design for AI failures, latency, costs, and observability.
• AI-First UX: collaborate with product and design for AI-driven user experiences.
• Production Deployment: containerize and scale with Docker/Kubernetes on cloud platforms with CI/CD pipelines.

Skills

JavaScript/TypeScript

React

Next.js

Node.js

Python

Java

Spring Boot

REST APIs

Tools

LLM APIs

Vector databases

RAG frameworks

Docker

Kubernetes

AWS

Job description

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 www.testingxperts.com.

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/GCP), with automated CI/CD pipelines.

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.