AI Architect

6 days ago

Chennai, Tamil Nadu, India Xerago Full time

Department:
AI Engineering

Experience:
4–6 years (AI/ML architecture & rapid prototyping)

Location:
Chennai, Perungudi – WFO (Mon-Fri)

Employment Type:
Full-time

Joining
: Immediate – 15 days

About Us

At Xerago
, we're a 20-year-old Marketing & Technology company blending data, creativity, and AI to drive measurable impact for global brands. Our
AI Engineering
group partners with Digital Engineering to build production-grade AI systems - accelerating innovation from idea to impact with GenAI, MLOps, and automation. If you love turning cutting-edge research into business-ready solutions at speed, this is your arena.

What You'll Do Here

  • Architect and design scalable, efficient AI systems and reference architectures for rapid iteration.
  • Lead the Agile AI build path from
    DemoBytes → POC → MVP → Demoable → Production
    , ensuring clear stage gates and documentation.
  • 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 in MLOps.
  • Mentor engineers on modern AI stacks, code quality, and experiment tracking.
  • Champion ethical AI, privacy-by-design, and compliance in data handling and deployments.
  • Track the AI landscape and propose pragmatic adoption of new models, tools, and methodologies.

Who We'd Love to Work With

We'd love it if you bring a mix of:

  • 4–6 years
    in AI/ML engineering/architecture with a strong record of
    rapid prototyping → production
    .
  • Deep hands-on with
    Python
    and modern ML/DL frameworks: TensorFlow, PyTorch, Keras.
  • Experience with
    LLMs
    and related tooling (prompting, RAG, fine-tuning, evaluation).
  • Comfort with platforms/tools such as Hugging Face, scikit-learn, spaCy, NLTK, Gensim, YOLO, FastAI, and experiment tracking (Weights & Biases).
  • Familiarity with WatsonX or similar enterprise AI platforms is a plus.
  • Exposure to AI dev environments like
    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 collaboration chops.
  • Bonus points if you're familiar with MLOps stacks (Docker, Kubernetes, model registries), vector databases, retrieval pipelines, and evaluation frameworks.

If you're curious, driven, and love solving challenges with creativity and logic, you'll fit right in.

What You Can Expect Here

  • At Xerago, we believe in
    growth through innovation and teamwork
    .
  • A collaborative culture that values
    curiosity, ownership, and open communication
    .
  • Real runway to experiment with
    GenAI, automation, and predictive analytics
    —and ship to production.
  • Clear impact, continuous learning, and mentors who care about your craft and career.

Benefits

  • Paid Time Off (PTO)
  • Health Insurance
  • Accident Insurance
  • Transport Facilities
  • Subsidized Meals
  • Learning & Development Opportunities
  • Flexible Work Timing

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