JAVA AI Engineer:

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Lead software architecture and component design, align solutions with business goals across the full delivery lifecycle.

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Drive AI-assisted engineering by select, standardise, and govern AI tool to improve productivity, quality, and compliance.

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Provide technical troubleshooting and performance optimisation, resolve system issue and coordinate incident across team.

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Collaborate across agile team to guide solution design, estimation, and requirement refinement.

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Identify and manage risk, proactively surface issue that may impact delivery or project success.

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Promote innovation and R&D; by evaluate new technology, build business case, and enhance solution capability.

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Ensure engineering excellence through code review, quality assurance (including AI-generated code), team capability development, ethical AI practice, and cyber risk management.

About you

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Demonstrate strong understanding of DevSecOps practices, benchmarks, and performance measurement.

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Deliver full-stack development across Java/J2EE, Spring Boot, and Angular, building scalable microservices and web applications.

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Design secure, scalable, and maintainable solutions using MVC patterns, modular architecture, and dependency injection.

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Integrate systems and manage APIs, including databases, third-party services, and secure authentication (OAuth2, JWT).

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Apply advanced AI engineering skills, including prompt engineering, context assembly (RAG), and automated quality/compliance controls.

-

Drive DevOps, automation, and cloud adoption, including CI/CD pipelines, testing frameworks, containers, and Kubernetes/OpenShift.

-

Provide technical leadership and governance, covering AI risk, security (including LLM threats), regulatory compliance, stakeholder communication, and delivery within financial services environments.

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A passion for leveraging emerging technologies to stay ahead in a rapidly evolving digital landscape.





-

JAVA AI Engineer:

-

Lead software architecture and component design, align solutions with business goals across the full delivery lifecycle.

-

Drive AI-assisted engineering by select, standardise, and govern AI tool to improve productivity, quality, and compliance.

-

Provide technical troubleshooting and performance optimisation, resolve system issue and coordinate incident across team.

-

Collaborate across agile team to guide solution design, estimation, and requirement refinement.

-

Identify and manage risk, proactively surface issue that may impact delivery or project success.

-

Promote innovation and R&D; by evaluate new technology, build business case, and enhance solution capability.

-

Ensure engineering excellence through code review, quality assurance (including AI-generated code), team capability development, ethical AI practice, and cyber risk management.

About you

-

Demonstrate solid understanding of DevSecOps practices, benchmarks, and performance measurement.

-

Deliver full-stack development across Java/J2EE, Spring Boot, and Angular, building scalable microservices and web applications.

-

Design secure, scalable, and maintainable solutions using MVC patterns, modular architecture, and dependency injection.

-

Integrate systems and manage APIs, including databases, third-party services, and secure authentication (OAuth2, JWT).

-

Apply advanced AI engineering skills, including prompt engineering, context assembly (RAG), and automated quality/compliance controls.

-

Drive DevOps, automation, and cloud adoption, including CI/CD pipelines, testing frameworks, containers, and Kubernetes/OpenShift.

-

Provide technical leadership and governance, covering AI risk, security (including LLM threats), regulatory compliance, stakeholder communication, and delivery within financial services environments.

-

A passion for leveraging emerging technologies to stay ahead in a rapidly evolving digital landscape.

📌 JAVA AI Engineer: (Bengaluru)
🏢 Important Company of the Sector
📍 Bengaluru