Senior AI Engineer

jadeglobal; Hyderabad; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

JadeGlobal in Hyderabad is seeking a Senior AI Engineer to design and deliver enterprise AI solutions across cloud, data, and application layers. You will build production-grade microservices, integrate GenAI capabilities, and drive AI-driven automation for client projects.

The role requires hands-on software engineering with 2+ years in a senior AI capacity, strong communication, and collaboration across global teams. Join a fast-growing IT services org in a dynamic delivery environment.

Qualifications

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

Responsibilities

• Hands-on Engineering & Delivery: write production-grade code for backend features and API integrations.
• AI & Engineering Framework Adoption: implement GenAI integration patterns and reusable AI assets.
• Technical Consulting & Problem Solving: engage client teams to understand landscapes and constraints; assist pre-sales.
• Cloud & Automation Execution: deploy cloud-native services using containers and serverless patterns.
• Engineering Community & Mentoring: mentor juniors and share knowledge across the JadeGlobal practice.

Skills

Python

.NET (C#)

Java

Node.js

Education

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

Tools

OpenAI API

Azure OpenAI

LangChain

LlamaIndex

RAG patterns

Agentic workflows

Docker

Kubernetes

AWS

Azure

GCP

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.

2. 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.

3. 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.

4. 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.

5. 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 .