AI Software Enginee

Campus Engineerhub Private Limited; Chennai; In loco; INR 1.000.000 - 1.600.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work arrangements

Generous paid leaves

Medical benefits

Descrizione del lavoro

Campus Engineerhub Private Limited is seeking a skilled developer to design, build, and maintain AI-enabled platform capabilities, APIs, and services. You will translate product requirements into scalable software and contribute to reusable platform patterns.

You will collaborate across Solution Engineering, Application Engineering, and Platform Reliability to ensure robust, secure, and production-ready solutions. The role emphasizes code quality, testing, and driving delivery velocity.

Competenze

• Design, develop, test, and maintain AI-enabled platform capabilities.
• Translate product requirements into scalable software.
• Review feature requests and build reusable platform components.
• Ensure code quality, security, and production readiness.

Mansioni

• Write clean, well-structured, testable code for AI-enabled platform features.
• Collaborate with Solution Engineering, Application Engineering, and Platform teams.
• Contribute to CI/CD pipelines and deployment automation.
• Promote reusable components and data contracts across projects.

Conoscenze

AI/LLM development

API development

Java

Python

Node.js

CI/CD

Code quality

Team collaboration

Formazione

Bachelor's degree in CS/Engineering

Descrizione del lavoro

#AI #LLM #JAVA #API #Python #Node.js #CI/CD #Coding

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Application Start Date

30 Oct 2026

Application End Date

Job Description

About UsWe are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

• Design, develop, test, and maintain AI-enabled platform capabilities, APIs, services, and reusable software enhancements.
• Translate product requirements, implementation feedback, and technical design direction into scalable, maintainable, and production-ready systems.
• Review feature requests from Solution Engineering and support development of reusable platform capabilities where requirements should become product or platform enhancements.
• Build capabilities that can be leveraged across multiple customer implementations, workflows, and platform experiences.
• Write clean, well-structured, testable, and maintainable code that supports long-term platform quality and team velocity.

Modern Development & AI-Enabled Engineering

• Use AI-assisted development practices to accelerate coding, testing, documentation, refactoring, and engineering analysis.
• Apply LLM-enabled workflows responsibly while maintaining strong code quality, security, review practices, and maintainability.
• Contribute to reusable engineering patterns, documentation, and development practices that improve team velocity and consistency.
• Use AI-enabled tools where appropriate to support test generation, code review preparation, technical documentation, and developer productivity.
• Build APIs, services, prompt patterns, agent integrations, extraction workflows, and integration patterns that support platform interoperability.
• Collaborate with Application Engineering, Solution Engineering, Platform Reliability, and Solution Architecture to align technical decisions across the platform.
• Promote reusable components, shared services, consistent data contracts, and integration standards.
• Support the appropriate balance between low-code platform implementation, custom engineering, reusable AI capabilities, and API-enabled services.

Data Science & AI Integration

• Support model integration, prompt engineering, retrieval patterns, advanced extraction logic, AI quality measurement, and agent configuration.
• Ensure AI-driven features are production-ready, scalable, cost-effective, secure, and aligned with platform needs.
• Partner with Solution Engineering on complex document types, failed extractions, prompt optimization, reusable implementation patterns, and AI quality improvements.
• Help package mature AI capabilities, prompts, evaluation methods, and configuration guidance so they can be reused across customer implementations.
• Collaborate with Data & AI Engineering peers to ensure AI outputs, extracted data, and model-driven capabilities are reliable, testable, traceable, and understandable to users.

DevOps, Reliability & Security

• Contribute to CI/CD pipelines, automated testing, deployment automation, monitoring, and incident readiness.
• Build software with strong attention to reliability, performance, availability, scalability, and operational support.
• Support observability practices including logging, monitoring, error handling, and production diagnostics.
• Follow secure development practices aligned with internal security standards, SOC 2 Type II, ISO 27001, and enterprise security expectations.
• Ensure AI-enabled capabilities are developed with appropriate attention to data handling, access control, auditability, and responsible AI practices.

Collaboration & Technical Ownership

• Work effectively with Product, Solution Engineering, Application Engineering, Platform Reliability, Solution Architecture, and cross-functional stakeholders.
• Take ownership of assigned features, services, defects, and technical improvements from design through production support.
• Communicate technical tradeoffs clearly and contribute to pragmatic engineering decisions.
• Support knowledge transfer to Solution Engineering and Application Engineering where AI capabilities become reusable implementation or application patterns.
• Contribute to a culture of accountability, collaboration, continuous improvement, and delivery excellence.

What we offer

• Flexible work arrangements for better work-life balance
• Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave)
• Medical benefits ( Insurance and Annual Health Check-up)
• Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance)
• Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme)
• Additional Benefits (Long Service Awards, Mobile Phone Reimbursement)