Senior AI Engineer

Jade Global; Pune District; On-site; INR 2,400,000 - 4,200,000; Full time

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Job summary

Jade Global is seeking a Senior AI Engineer to deliver enterprise-grade AI and cloud-native solutions. You will write production-grade backend code, integrate GenAI features, and work across clients in a delivery role.

The ideal candidate has 4–6 years of software experience, with 2+ years in senior AI engineering, and comfort working across time zones. Collaboration with offshore teams and ongoing learning are expected.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field is required.
• 4–6 years of hands-on software engineering experience, with 2+ years as a Senior AI engineer building enterprise-grade solutions.
• Experience in client-facing delivery environments within IT services or consulting is preferred.

Responsibilities

• Hands-on engineering and delivery: write production-grade code for backend microservices and API integrations; contribute to daily engineering deliverables with testing and refactoring.
• AI and engineering framework adoption: integrate GenAI patterns, agentic workflows, and reusable assets; evaluate new AI tools and platforms.
• Technical consulting & problem solving: engage with client teams, propose pragmatic solutions, assist pre-sales activities and estimates.
• Cloud & automation execution: deploy cloud-native services on AWS/Azure/GCP; use containers, serverless, event-driven patterns.
• Mentoring & community: coach junior engineers, share knowledge, and contribute to Jade's internal engineering discussions.

Skills

Python

C# ASP.NET

Java

Node.js

GenAI APIs

LangChain

LlamaIndex

RAG patterns

Agentic workflows

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

GitHub Actions

Azure DevOps

Automation

RPA tools

Oracle

Salesforce

ServiceNow

Cloud Certification

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

GitHub Actions

Azure DevOps

OpenAI API

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 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

• 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.

Working at Jade Global

Talented people are drawn to world‑class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world. We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees.

We seek to provide the benefits you need while standing behind you every step of the way.

• Our programs include health‑related policies and leave donation policy.