Fullstack Engineer with AI

IRESH TECHNOLOGIES LLC

United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Automation of Tests Microsoft Azure Cloud Computing Software Tools Software Deployment Web Applications Google Cloud GitHub Copilot

+8 more

Large Language Models Prompt Engineering Software Security Model Validation Generative AI Data Pipelines Databricks Microservices

Requirements

12+ years of full-stack engineering experience with a demonstrated ability to design, build, and scale production-grade applications.
10+ years of experience delivering customer-facing technology solutions in consulting, product engineering, or enterprise environments.
Proven track record of leading end-to-end solution delivery, from architecture and development through deployment and operational support.
Hands-on experience building scalable data pipelines, APIs, microservices, and modern web applications.
Experience designing and implementing AI-powered applications using Large Language Models (LLMs), including integration with platforms such as OpenAI, Anthropic, and Google Gemini.
Strong understanding of Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, model evaluation, and enterprise AI application patterns.
Proficiency with AI-assisted software development tools, including GitHub Copilot and other developer productivity platforms.
Hands-on experience developing and deploying cloud-native solutions on AWS, Azure, or Google Cloud Platform.
Experience implementing CI/CD pipelines, automated testing, infrastructure-as-code, and production deployment best practices.
Strong understanding of application security, observability, monitoring, and operational excellence in enterprise environments.
Databricks Data Engineer Professional certification preferred; hands-on Databricks experience is highly desirable.
Excellent communication, stakeholder management, and consulting skills, with the ability to translate business requirements into scalable technical solutions.