AI Engineer

Compunnel, Inc.; Plano (TX); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Compunnel, Inc. is seeking an experienced AI Engineer to design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure.

The role focuses on AI-powered development to enhance delivery, automation, and engineering efficiency across the software lifecycle. You will build secure APIs, leverage Azure Databricks, Spark, and Delta Lake, and Own applications end-to-end from design through production support, collaborating with stakeholders to

Qualifications

• Experience with Java, Python, Azure, and microservices architecture.
• Proven track record building scalable cloud-native applications.
• Strong SDLC, Agile, DevOps, and CI/CD knowledge.
• Ability to translate business requirements into scalable technology solutions.

Responsibilities

• Design, develop, and maintain scalable cloud-native apps and microservices.
• Build secure RESTful APIs and data-intensive solutions on Azure Databricks and Spark.
• Deliver production-ready software using Agile and CI/CD practices.
• Own applications end-to-end from design to production support.
• Apply AI-powered development to improve delivery and productivity.
• Collaborate with stakeholders to translate requirements into scalable technology solutions.

Skills

Java

Python

Microsoft Azure

Azure Databricks

Microservices

Job description

Job Summary

We are seeking an experienced AI Engineer to design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure. The ideal candidate will combine strong software engineering expertise with AI-powered development practices to improve software delivery, automation, developer productivity, and engineering efficiency.

Key Responsibilities

• Design, develop, and maintain scalable, cloud-native applications and microservices using Java, Python, and Microsoft Azure.
• Build secure RESTful APIs, distributed systems, and data-intensive solutions leveraging Azure Databricks, Apache Spark, and Delta Lake.
• Deliver production-ready software following Agile, DevOps, CI/CD, and cloud engineering best practices.
• Take end-to-end ownership of applications and services across design, development, deployment, monitoring, and production support.
• Leverage AI-powered development tools and engineering practices to accelerate software delivery, improve code quality, automate workflows, and enhance developer productivity.
• Develop reusable AI-driven solutions to streamline engineering processes and reduce manual effort.
• Identify and implement opportunities to improve engineering efficiency, automation, and software quality through AI adoption.
• Collaborate with business stakeholders, functional leaders, product owners, architects, and engineering teams to translate business requirements into scalable technology solutions.
• Stay current with emerging AI technologies and contribute to the adoption of responsible AI practices across the engineering organization.

Required Qualifications

• Strong hands-on experience with Java, Python, Microsoft Azure, Azure Databricks, and microservices architecture.
• Proven experience building and deploying scalable cloud-native enterprise applications.
• Deep understanding of modern SDLC, Agile delivery, DevOps, CI/CD, and software engineering best practices.
• Demonstrated ability to leverage AI tools and techniques to accelerate software delivery, improve code quality, automate engineering processes, enhance developer productivity, and drive innovation across the software lifecycle.
• Ability to work closely with business stakeholders, functional leaders, product owners, and technical teams to translate business requirements into scalable, value-driven technology solutions.
• Strong ownership mindset with the ability to drive solutions end-to-end, from requirements and design through deployment and production support.
• Excellent analytical, communication, stakeholder management, and problem-solving skills.

Notes:

Mandatory Areas

Must Have Skills – AI Engineer

• Skill 1 – 8 + Years of exp in AI
• Skill 2 – 3 + Years of Exp in Java, Python