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AI Architect / Senior AI Engineer

6 years

0 Lacs

chennai tamil nadu india

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai engineering ml architecture marketing technology data creativity drive automation cutting research design agile cadence reliability security model evaluation testing code compliance prototyping tensorflow pytorch tooling tuning nltk gensim tracking coding communication documentation collaboration docker kubernetes retrieval logic collaborative learning development

Work Mode

On-site

Job Type

Full Time

Job Description

Department:

Experience:

Location:

Employment Type:

Joining



About Us

At Xerago



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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