Lead AI Engineer

Jade Global; Pune District; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

Jade Global in India seeks a Lead AI Engineer to drive hands-on engineering across cloud, AI/ML, and enterprise app delivery. You will design production-grade microservices, implement GenAI integrations, and foster AI framework adoption. You’ll mentor juniors and contribute to architectural decisions for client projects.

Experience: 5–8 years, strong Python or .NET, knowledge of cloud platforms, and enterprise systems exposure. On-site in Pune with global delivery.

Qualifications

• 5–8 years of hands‑on software engineering experience, with 3+ years as Senior AI engineer.
• Experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.
• Experience in client-facing delivery environments within IT services or consulting is preferred.

Responsibilities

• Write production-grade code to build component-level features and API integrations.
• Develop backend microservices, drive unit testing, refactor code, and resolve technical debt.
• Conduct peer code reviews to ensure quality, performance, and maintainability.
• Learn, implement, and integrate GenAI patterns, agentic workflows, and intelligent automation.
• Mentor junior engineers and contribute to Jade’s internal community of practice.

Skills

Python

C#/ASP.NET Core

Java

Node.js

GenAI APIs

LangChain

LlamaIndex

RAG patterns

Agentic workflows

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

GitHub Actions

Azure DevOps

RPA

Oracle

SAP

Salesforce

ServiceNow

Cloud Certifications

Education

Bachelor’s degree in Computer Science, Computer Engineering, Information Technology

Tools

Docker

Kubernetes

GitHub Actions

Azure DevOps

AWS

Azure

GCP

OpenAI APIs

Job description

Lead 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: 5–8 years of hands‑on software engineering experience, with 3+ 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 .