AI Engineer

Aaysanalytics; Gurugram District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading AI solutions provider in Gurugram is seeking a Principal AI Engineer to define and evolve the architecture for Generative AI applications. The role involves automating ML pipelines, establishing frameworks, and mentoring talent. Ideal candidates have a Master's or PhD in relevant fields and extensive experience in AI projects. This position offers significant influence on product strategies and requires collaboration with senior leaders and engineering teams.

Qualifications

• Extensive experience leading AI projects from concept to deployment.
• Hands-on experience with pretrained transformer models and LLMs.
• Proficiency across major cloud platforms.

Responsibilities

• Define and evolve end-to-end architecture for Generative AI applications.
• Automate ML pipelines including training and evaluation.
• Establish reusable frameworks for model development.

Skills

Leading AI projects

Strong grounding in statistics

Experience with LLMs

Mentoring engineering talent

Education

Master’s or PhD in Computer Science

Tools

PyTorch

TensorFlow

Hugging Face

Azure

GCP

AWS

Job description

As a Principal AI Engineer at Aays, you will drive the Generative AI vision, strategy, and architecture - designing and scaling a suite of GenAI applications and the platform beneath them. You’ll work at the intersection of product, engineering, and data science, turning cutting-edge research into robust, production-grade systems.

What You’ll Own

• Define and evolve the end-to-end architecture for Generative AI applications and their underlying systems.
• Architect, build, and improve new and existing GenAI applications and services.

Model Lifecycle, MLOps & Automation

• Automate ML pipelines, including training, evaluation, deployment, and monitoring for LLMs and other models.
• Optimize performance and cost using techniques such as LoRA/QLoRA and efficient fine-tuning.

Frameworks, Guardrails & Governance

• Establish reusable frameworks for model building, deployment, monitoring, logging, and alerting.
• Build guardrails, compliance rules, and approval workflows into the GenAI platform, including staged rollouts for production.

Developer Experience & Engineering Culture

• Develop templates, guides, and sandbox environments to onboard contributors and support experimentation.
• Enforce rigorous validation testing and peer review processes before publishing user-facing models and applications.
• Promote software engineering best practices across the AI team.

Your Expertise

AI & ML Depth

• Master’s or PhD in Computer Science, AI, ML, or related field.
• Extensive experience leading AI projects from concept to deployment in consulting or startup environments.
• Strong grounding in statistics, analytics, machine learning, deep learning, and NLP (regression, classification, time series, Random Forest, boosting, CNNs, RNNs, LSTMs, transformers, etc.).

Generative AI & LLMs

• Hands-on experience with pretrained transformer models and LLMs using PyTorch/TensorFlow/Hugging Face on CPU/GPU.
• Experience with frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and Hugging Face for model development and optimization.
• Proficiency across major cloud platforms (Azure, GCP, AWS) and modern software engineering practices.
• Experience designing scalable AI systems, with strong focus on reliability, observability, and performance.

Leadership & Stakeholder Management

• Proven track record of mentoring and developing engineering talent.
• Ability to explain complex AI concepts to non-technical stakeholders and contribute to strategic decisions.

Why This Role at Aays

• Shape the GenAI Platform: You’re helping define the architecture, guardrails, and frameworks that others will build on.
• See End-to-End Impact: From vision and design to deployment and monitoring, you own the lifecycle.
• Work with Leadership: Partner closely with founders, VPs, and product leaders to embed AI into core offerings.
• Build for Real Enterprises: Apply Generative AI in high-stakes domains (finance, supply chain, operations), where robustness and explainability matter.

Who You’ll Work With

In this role, you’ll work closely with our founders, product leaders, solution architects, and senior data scientists. You’ll also collaborate with engineering and DevOps teams to ensure our AI systems are secure, scalable, and production-ready.

Ready to Lead Our Generative AI Journey?

If you are a Principal AI Engineer who enjoys building real systems, shaping strategy, and getting GenAI safely into production, we’d be happy to talk.