senior AI Engineer

Jade Global; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Jade Global in Pune, India, is seeking a Senior AI Engineer to drive hands-on engineering across cloud, AI/ML, and enterprise integration. You will build production-grade microservices, integrate GenAI patterns, and collaborate with global teams to deliver scalable solutions.

The role emphasizes mentoring, client engagement, and adopting AI frameworks, with hands-on work on AWS/Azure/GCP, containers, and DevOps pipelines. A Bachelor's in CS or related field is required.

Qualifications

• 4–6 years of hands-on software engineering experience, with 2+ years as Senior AI engineer.
• Hands-on experience delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.
• Experience working in client-facing delivery environments within IT services or consulting organizations is preferred.

Responsibilities

• Write production-grade code to build component-level features and API integrations based on technical designs and blueprints.
• Actively contribute to daily engineering deliverables—developing backend microservices, driving unit testing, refactoring code, and resolving technical debt.
• Conduct peer code reviews to ensure code quality, performance, maintainability, and adherence to team engineering standards.
• Troubleshoot and resolve complex bugs, API integration issues, and performance bottlenecks within application microservices.
• Learn, implement, and integrate AI-native features including GenAI integration patterns, agentic workflows, and intelligent automation.
• Contribute to the development and maintenance of AI engineering frameworks, solution accelerators, and reusable technical assets.
• Evaluate and experiment with new tools, APIs, and platforms in AI and cloud-native space.
• Engage with client technical teams to understand system landscapes, integration requirements, and constraints.
• Propose pragmatic, technology-forward solutions to complex engineering challenges across modernization, AI integration, and cloud migration.
• Support the Solution and Principal Architect in pre-sales activities including technical assessments, PoC design, and effort estimation.
• Develop and deploy cloud-native services on AWS, Azure, or GCP using containers, serverless, and event-driven patterns.
• Implement intelligent automation components using workflow engines, RPA integrations, or custom AI pipelines.
• Mentor junior engineers and contribute to Jade's internal community of practice.

Skills

Python

.NET (C#, ASP.NET Core)

Java

Node.js

GenAI APIs

LangChain

LlamaIndex

RAG patterns

agentic workflows

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

workflow orchestration

RPA

Oracle

SAP

Salesforce

ServiceNow

Cloud Certifications

Education

Bachelor's degree in Computer Science/Computer Engineering/Information Technology or related field

Tools

Oracle

SAP

Salesforce

ServiceNow

Job description

Job Description:

Senior AI Engineer2

Technical Skills

• Engineering Stack: Strong hands-on proficiency in Python and/or .NET (C#, ASP.NET Core), Java, or Node.js.

• AI & GenAI: Practical experience with GenAI APIs (OpenAI, Azure OpenAI), LangChain, LlamaIndex, RAG patterns, or agentic workflow frameworks.

• Cloud & DevOps: Hands-on experience with AWS, Azure, or GCP—microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps).

• Automation: Exposure to workflow orchestration engines, RPA tools, or custom automation scripts.

• Enterprise Platforms: Familiarity with enterprise systems (Oracle, SAP, Salesforce, or ServiceNow) is a plus.

• Certifications: Cloud Certification (AWS, Azure, or GCP) at associate/developer level is a plus.

Soft Skills

• Clear technical communication—able to explain code implementation to teammates and project managers.

• Collaborative team player accustomed to working across global/offshore time zones.

• Curious and self-motivated — proactively explores new AI tools, frameworks, and engineering patterns.

Experience

• Experience: 4–6 years of hands-on software engineering experience, with 2+ years as, Senior AI engineer

• Hands-on experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.

• Experience working in client-facing delivery environments within IT services or consulting organizations is preferred.

Key Responsibilities

1. Hands-on Engineering & Delivery

• Write production-grade code to build component-level features and API integrations based on technical designs and blueprints.

• Actively contribute to daily engineering deliverables—developing backend microservices, driving unit testing, refactoring code, and resolving technical debt.

• Conduct peer code reviews to ensure code quality, performance, maintainability, and adherence to team engineering standards.

• Troubleshoot and resolve complex bugs, API integration issues, and performance bottlenecks within application microservices.

AI & Engineering Framework Adoption

• Learn, implement, and integrate for AI-native feature— including GenAI integration patterns, agentic workflows, and intelligent automation

• Contribute to the development and maintenance of AI engineering frameworks, solution accelerators, and reusable technical assets.

• Evaluate and experiment with new tools, APIs, and platforms in the AI and cloud-native space.

Technical Consulting & Problem Solving

• Engage with client technical teams to understand system landscapes, integration requirements, and technical constraints.

• Propose pragmatic, technology-forward solutions to complex engineering challenges across application modernization, AI integration, and cloud migration.

• Support the Solution and Principal Architect in pre-sales activities including technical assessments, proof-of-concept design, and effort estimation.

Cloud & Automation Execution

• Develop and deploy cloud-native services on AWS, Azure, or GCP using containers (Docker, Kubernetes), serverless functions, and event-driven patterns.

• Implement intelligent automation components using workflow orchestration engines, RPA integrations, or custom AI-driven pipelines.

Engineering Community & Mentoring

• Mentor junior engineers—supporting technical upskilling on AI tools, cloud platforms, and modern engineering practices.

• Contribute to Jade's internal community of practice through knowledge sharing, documentation, and participation in architecture discussions.

Education

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field is required.

Requirements: