Sr. AI Engineer 4B
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at and on LinkedIn, YouTube, X, and Facebook.
Job Description
Role Overview
We are looking for a hands-on Full Stack AI Application Engineer to join our Advanced AI Practice within the AI Application Engineering team. The role focuses on building scalable, production-grade applications across frontend, backend, API, AI, and cloud platforms. You will work on modern AI-powered solutions, enterprise integrations, and cloud-native applications from design and development through deployment and production support for next-gen Generative AI and Agentic AI applications.
Key Responsibilities
Full Stack Development: Design, develop, and maintain end-to-end web applications across frontend, backend, API, and database layers.
Backend and API Engineering: Build scalable microservices, REST APIs, and enterprise integrations while ensuring security, reliability, and performance.
AI Application Development: Design, develop, and integrate AI-powered capabilities, including Generative AI features, agentic workflows, enterprise search, and intelligent automation solutions.
Cloud and DevOps: Deploy, monitor, and manage applications on Azure and AWS using CI/CD pipelines, containerization, and cloud-native services.
- Architecture and Solution Design: Participate in solution design, technical architecture reviews, scalability planning, and implementation of enterprise-grade applications.
Performance and Reliability: Optimize application performance, troubleshoot production issues, and ensure high availability of critical business applications.
Stakeholder Collaboration: Work closely with product owners, architects, business stakeholders, and engineering teams to translate requirements into scalable solutions.
- Knowledge Sharing: Contribute reusable frameworks, promote engineering best practices, create technical documentation, and mentor junior developers.
Must-Have Skills and Experience (Mandatory)
3+ years of hands-on experience in full stack application development.
Generative AI: Experience with Claude, GPT, and other LLMs, including RAG, agentic workflows, and enterprise AI applications.
Frontend Development: Experience building modern web applications using React, Angular, or similar JavaScript frameworks.
Backend Development: Strong expertise in Python, scalable APIs, microservices, and backend application development.
Cloud Platforms: Experience with Azure and/or AWS cloud services and cloud-native application development.
DevOps and CI/CD: Hands-on experience with GitHub, CI/CD pipelines, Docker, deployment automation, and application lifecycle management.
Engineering Fundamentals: Strong understanding of software design patterns, API architecture, security, scalability, and performance optimization.
Good-to-Have Skills
Claude and LLM Ecosystem: Experience designing, deploying, and optimizing solutions using Claude models, prompt engineering techniques, and enterprise AI workflows.
Agentic AI and Multi-Agent Systems: Experience with LangGraph, workflow orchestration, tool-calling agents, and enterprise automation frameworks.
Containerization and Orchestration: Docker, Kubernetes, and cloud-native deployment patterns.
Workflow Automation: Experience with event-driven architectures, serverless computing, and business process automation.
Enterprise Integration: OpenAPI, REST services, authentication frameworks, and enterprise application integrations.
Observability and Monitoring: Application monitoring, logging, diagnostics, and performance management.
AI Platform Engineering: RAG architectures, enterprise grounding systems, and AI deployment frameworks.
Vector Databases: Familiarity with Pinecone, FAISS, Weaviate, or Milvus.
Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Preferred Certifications: Relevant Claude, AWS, Azure, or equivalent cloud and AI certifications.
Qualifications
Certifications
Required Skills
AI/ML OpsLanguage
English (Required)Language Proficiency -
Proficient - C2Additional Job Location -
Job Type
RegularMaster Skill List -
Advanced Analytics / AI / MLRemote Type -
HybridWork Shift -
Day Job (India)Why join Genpact?
• Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
• Make an impact – Help global enterprises solve business challenges that matter
• Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Skills
- Agentic AI
- AI
- Analytics
- Angular
- API
- Authentication
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- Cloud Native
- Containerization
- Design Patterns
- DevOps
- Docker
- Event Driven Architecture
- FAISS
- Generative AI
- GitHub
- JavaScript
- Kubernetes
- LangGraph
- LLM
- Machine Learning
- Microservices
- Milvus
- Observability
- OpenAPI
- Performance Management
- Pinecone
- Prompt Engineering
- Python
- RAG
- React
- REST
- Serverless
- Solution Design
- Vector Databases
- Weaviate
- Workflow Orchestration