AI-Enabled Java Full Stack Engineering Lead

Microgreentech; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Microgreentech in Mountain View seeks an AI-Enabled Java Full Stack Engineering Lead to design, develop, and deliver scalable enterprise applications. You will own technical delivery from concept to production, blending hands-on coding with architecture and AI integration.

Lead cross‑functional teams, translate business requirements into robust solutions, and drive modern delivery practices, CI/CD, testing, and observability.

Qualifications

• 12+ years in software engineering or enterprise tech delivery.
• Expert in Java, Spring Boot, microservices and API design.
• Frontend experience with React or Angular.
• Relational and NoSQL database experience and performance tuning.
• Production systems experience in fast-paced environments.

Responsibilities

• Design, build, and maintain scalable full-stack apps using Java, Spring Boot, microservices, REST/gRPC APIs, and modern frontend frameworks.
• Develop and integrate AI-powered capabilities and GenAI tooling into enterprise apps.
• Own technical delivery from concept to production and ensure quality and sustainability.
• Collaborate with stakeholders to translate requirements into technical solutions and drive adoption.
• Lead prototyping and exploration of new AI technologies and platforms.

Skills

Java expertise

Spring Boot

Microservices

React/Angular

API design

Database design (SQL/NoSQL)

Production systems

CI/CD

Cloud fundamentals (AWS/Azure)

Leadership

Tools

GitHub Actions

LangChain

Azure OpenAI

Claude / GenAI tools

Job description

Role Overview

The AI-Enabled Java Full Stack Engineering Lead is responsible for designing, developing, and delivering scalable enterprise applications leveraging modern Java full-stack technologies and AI capabilities. This role combines hands-on software engineering, solution architecture, AI integration, and technical leadership to build production-grade applications that improve business outcomes and accelerate technology innovation. The position works closely with business stakeholders to understand requirements and translate them into scalable, maintainable, and high-quality solutions.

Core Responsibilities

• Design, build, and maintain scalable full-stack applications using Java, Spring Boot, microservices, REST/gRPC APIs, and modern frontend frameworks such as React or Angular.
• Develop and integrate AI-powered capabilities including intelligent assistants, agents, workflow automation, recommendation engines, and Generative AI solutions.
• Build reusable frameworks, services, APIs, and accelerators that improve engineering efficiency and support enterprise-wide adoption.
• Own technical delivery from concept to production, balancing speed, quality, and long-term sustainability.
• Collaborate with business stakeholders and product teams to understand requirements, validate solutions, and drive successful adoption.
• Lead rapid prototyping and proof-of-concept efforts to evaluate emerging technologies and AI use cases.
• Partner with platform and engineering teams to integrate successful solutions into enterprise platforms and shared services.
• Drive engineering excellence through automation, AI-assisted development, testing, CI/CD, observability, and modern software delivery practices.

Required Skills:

Full Stack Engineering

• 12+ years of experience in software engineering, application development, or enterprise technology delivery.
• Strong expertise in Java, Spring Boot, distributed systems, microservices architecture, and API design.
• Hands-on experience with React, Angular, Remix, or similar modern frontend frameworks.
• Experience with relational and NoSQL databases, performance optimization, and scalable application design.
• Experience building and operating production systems in fast-paced environments.

AI & Modern Engineering

• Experience integrating AI/GenAI capabilities into enterprise applications.
• Experience in building applications using GenAI tools such as claude, copilot, or similar.
• Knowledge of LLMs, AI Agents, RAG, prompt engineering, and workflow automation.
• Familiarity with AI frameworks and platforms such as Azure OpenAI, LangChain, LangGraph, Claude, Gemini, or similar technologies.

Leadership & Collaboration

• Strong technical judgment and ability to work effectively with engineers, architects, product teams, and business stakeholders.
• Ability to translate business requirements into technical solutions and drive execution with minimal supervision.
• Excellent communication, problem-solving, and stakeholder management skills.
• Strong ownership mindset and ability to operate effectively in dynamic environments.

Cloud & DevOps

• Familiarity with CI/CD pipelines, GitHub Actions, etc.
• Understanding of software quality, security, reliability, and operational excellence.
• Experience with cloud-native application development and deployment is a plus