Senior AI Engineer

Jade Global; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Jade Global in Hyderabad, India is hiring a Senior AI Engineer with hands-on expertise in cloud, AI/ML, and application engineering. You will build backend microservices, integrate GenAI capabilities, and collaborate with global teams.

The role involves delivering enterprise-grade solutions on AWS/Azure/GCP, implementing CI/CD, and mentoring juniors while engaging with client technical teams.

Qualifications

• Hands-on software engineering with cloud/AI focus.
• Experience with GenAI APIs, LangChain, RAG patterns, or agentic workflows.
• Experience delivering enterprise-grade solutions via IT services or consulting is preferred.

Responsibilities

• Write production-grade code for backend microservices and API integrations.
• Contribute to daily engineering deliverables including testing, refactoring, and debt reduction.
• Lead peer reviews to ensure quality, performance, and maintainability.
• Collaborate with client technical teams to understand landscapes and constraints.

Skills

Python

Java

C#

Node.js

GenAI

LangChain

OpenAI

AWS

Azure

Kubernetes

Docker

Education

Bachelor's degree in Computer Science/Computer Engineering/Information Technology

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Job Description

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 GCPmicroservices, 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 communicationable 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: 46 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.