Sr Executive – AI Engineer

About Xerago

Xerago is a global AI-driven digital enterprise that gets inside enterprise systems and makes them run the way they were designed to. For over two decades, Xerago has helped large and mid-market organizations across the world solve complex digital challenges, deliver measurable outcomes, and create sustained impact. We have been delivering Digital Impact to enterprises for over 20 years. Now with AI, we deliver Digital Independence as well.

Xerago solves operational problems through AI-native intelligence across Customer Experience, Data Analytics, MarTech, Cloud, AI, Customer Engagement and Retention, Digital Analytics, Digital Commerce, and Campaign Management automating workflows and integrating everything into one operating layer teams can control.

50+ Global Clients. 25 Countries. 5 Continents. 100k+ Campaigns. 1B+ Customers Reached.

Job Location:Chennai, Perungudi | Work From Office (Mon–Fri)
Job Title:Sr Executive – AI Engineer
Role:Senior AI Engineer / AI Architect
Department:AI Engineering
Years of Experience:4–6 Years

Job Description

As a Senior AI Engineer / AI Architect at Xerago, you will design and deliver production-grade AI systems that move at speed from rapid prototyping to scalable deployment. Working at the intersection of GenAI, MLOps, and Digital Engineering, you will lead the full AI build lifecycle, drive fast release cadences, and translate cutting-edge research into measurable business impact for global brands.

What You'll Be Responsible For

Architect and design scalable, efficient AI systems and reference architectures built for rapid iteration
Lead the Agile AI build path from DemoBytes → POC → MVP → Demoable → Production, with clear stage gates and documentation at every phase
Drive a fast release cadence: monthly demo drops and production releases every two months
Integrate AI services and LLMs into existing platforms, data pipelines, and APIs with reliability and security in mind
Establish best practices for model evaluation, testing, observability, and CI/CD within MLOps workflows
Mentor engineers on modern AI stacks, code quality, and experiment tracking
Champion ethical AI, privacy-by-design, and compliance standards across all data handling and deployments
Track the evolving AI landscape and propose pragmatic adoption of new models, tools, and methodologies

Requirements

4–6 years of experience in AI/ML engineering or architecture with a strong record of rapid prototyping through to production
Deep hands-on experience with Python and modern ML/DL frameworks: TensorFlow, PyTorch, Keras
Proven experience with LLMs and related tooling prompting, RAG, fine-tuning, and evaluation
Working knowledge of platforms and tools such as Hugging Face, scikit-learn, spaCy, NLTK, Gensim, YOLO, FastAI, and experiment tracking tools like Weights & Biases
Familiarity with WatsonX or similar enterprise AI platforms is a plus
Exposure to AI development environments such as Cursor, Windsurf, and AI coding copilots; familiarity with Claude or similar LLMs
Ability to translate complex AI concepts into practical designs for engineers, PMs, and business stakeholders
Strong communication, documentation, and cross-functional collaboration skills
Bonus: familiarity with MLOps stacks (Docker, Kubernetes, model registries), vector databases, retrieval pipelines, and evaluation frameworks

Attributes We Value

Curious, driven, and energized by solving hard problems with creativity and logic
Ownership mindset with strong attention to documentation and delivery quality
Collaborative team player who thrives in a fast-moving, innovation-first culture
Open communicator who can work across engineering, product, and business teams