In every role McCainers are ambitious curious and passionate about creating exceptional work experiences - together. With a customer-first mindset we make doing business with McCain easy.
About the role.
We are seeking an elite hands-on Sr. AI Engineer to serve as a foundational technical authority across McCains AI ecosystem. This is a senior Individual Contributor (IC) role designed for a world-class technologist who thrives on solving complex engineering challenges building scalable AI platforms and delivering production-grade solutions.
As a technical leader without people management responsibilities you will focus on architecting and developing reusable AI capabilities advancing Generative AI platforms optimizing model serving and inference performance and accelerating the journey from experimental research to enterprise-scale deployment. You will play a critical role in shaping McCains AI engineering standards infrastructure and technical direction while mentoring engineering teams through deep technical expertise and architectural guidance.
What youll be doing.
- Lead the hands-on architecture design and development of reusable foundational AI capabilities including pretrained model pipelines multimodal workflows and advanced retrieval-augmented generation (RAG) architectures.
- Design build and optimize enterprise-grade agentic and multi-agent systems using modern AI orchestration frameworks and tools.
- Drive integration standards for AI applications through Model Context Protocol (MCP) external tools model routing frameworks and enterprise data systems.
- Transform research prototypes and proof-of-concepts into scalable secure reproducible and production-ready AI applications.
- Optimize model inference infrastructure through quantization strategies runtime tuning memory optimization dynamic batching and efficient serving architectures.
- Design and support distributed AI workloads across Kubernetes-based environments and GPU-enabled infrastructure.
- Implement observability monitoring context management caching strategies and performance guardrails that enhance system reliability and user experience.
- Establish and enforce engineering best practices for code quality automated testing security compliance and production readiness.
- Conduct deep technical design and code reviews providing architectural guidance and validating technical trade-offs before deployment.
- Mentor software engineers machine learning engineers and technical teams through thought leadership and AI engineering best practices.
What youll need to be successful.
- Bachelors Masters or PhD in Computer Science Machine Learning Electrical Engineering Applied Mathematics or a related quantitative discipline.
- 10-15 years of hands-on experience in software engineering systems architecture distributed systems or enterprise backend development.
- 5 years of experience developing deploying and operating production machine learning systems with significant recent experience in Generative AI technologies.
- Demonstrated success serving as a technical lead architect or principal engineer for high-scale highly available enterprise platforms.
- Expert-level proficiency in Python and modern software engineering patterns including concurrency distributed computing performance tuning and system optimization.
- Deep expertise with Kubernetes containerized workloads distributed systems and GPU infrastructure management across enterprise environments.
- Hands-on experience deploying and optimizing model serving platforms such as Triton Inference Server vLLM TGI or similar inference technologies.
- Advanced experience with AI orchestration frameworks including LangChain LangGraph LlamaIndex AutoGen or related technologies.
- Robust understanding of MLOps tooling experiment tracking model registries and lifecycle management solutions such as MLflow and Weights & Biases.
- Experience implementing AI solutions across text image video speech audio or multimodal domains is considered an asset.
- Proven ability to communicate complex technical decisions performance trade-offs and architectural recommendations to both technical and business stakeholders.
- Strong execution mindset with a focus on operational excellence scalability performance and business impact.
About the team.
The AI Engineering team is responsible for building and scaling enterprise AI capabilities that enable innovation across McCains business functions. As a Principal AI Engineer you will serve as a senior technical leader and trusted advisor across engineering teams partnering closely with AI engineers software developers platform engineers infrastructure teams data professionals and business stakeholders.
This role is positioned at the center of McCains AI technology strategy helping establish technical standards accelerate delivery and ensure that advanced AI capabilities are built with reliability scalability security and long-term value in mind.
About McCain.
Click Here to learn more about McCain and how we provide opportunities to make an impact that matters.
Leadership principles.
At McCain our leadership principles guide how we engage with customers collaborate as a team and achieve success. We focus on understanding customer needs driving innovation empowering people and taking ownership to clear obstacles and deliver results.
AI & Digital Capabilities.
At McCain AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture.
The McCain experience.
We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust empowering us to bring out the best in one another. Here youll find opportunities to learn grow and thrive. Join us and experience why were better together.
McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family:Information Technology
Location(s): IN - India : Haryana : Gurgaon
Company:McCain Foods(India) P Ltd
Required Experience:
Senior IC
📌 Sr. AI Engineer (Gurugram)
🏢 Mccain Foods
📍 Gurugram
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