Artificial Intelligence Engineer

2 weeks ago

Bengaluru, Karnataka, India Discoveries Quintessential Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI/ML Engineer

Location:
Bengaluru (Onsite)

Employment Type:
Full-Time

Experience:
1–3 years (exceptional freshers may apply)

Reporting To:
Head of AI

About Workwise

We are redefining how India's industrial and EPC sectors
buy, build, and scale
. We develop AI systems that understand the language of engineering projects—automating BOQ processing, vendor discovery, cost estimation, and more. Our mission is clear:
make procurement faster, smarter, and more profitable through intelligent automation
. If you're excited about building real-world AI where
language meets engineering
, this is the place for you.

Role Overview

As an AI/ML Engineer, you'll build the domain-specific AI pipelines that power our core workflows. You'll work closely with our AI Head and product/engineering teams to convert raw industrial data into smart, automated systems used in real operations.

What You'll Do

  • Build AI pipelines to convert unstructured documents (BOQs, tenders, specs) into structured datasets.
  • Develop parsing, retrieval, and reasoning systems across multi-format industrial data.
  • Fine-tune and deploy LLMs and vision-language models for production use cases.
  • Design continuous learning loops and retraining workflows.
  • Collaborate with engineering and product teams to scale prototypes into production-ready systems.

What We're Looking For

  • Strong Python and ML fundamentals (PyTorch/TensorFlow).
  • Experience with LLM frameworks (LangChain, LlamaIndex, etc.).
  • Familiarity with Document AI/OCR models (PaddleOCR, LayoutLM, Donut, etc.).
  • Understanding of embeddings, semantic search, RAG, and entity linking.
  • Clean coding, modular design, and Git/GitHub proficiency.
  • Ability to build scalable, production-ready ML components.

Bonus Skills

  • Experience with document understanding or information extraction systems.
  • Built feedback-based evaluation or retraining pipelines.
  • AWS experience (S3, Lambda, EC2, SageMaker) for model deployment.
  • Open-source contributions or published ML projects.

What You'll Achieve

  • Month 1:
    Understand domain & data workflows and ship an internal prototype.
  • Month 2:
    Deliver an end-to-end customer-facing demo solving a real use case.
  • Month 3+:
    Own and improve a production-grade AI feature from ingestion to deployment.

Why We?

  • Build real-world, high-impact AI for India's industrial ecosystem.
  • Work directly with top talent across AI, engineering, and product.
  • Own meaningful projects early in your journey.
  • Fast-growth environment with leadership opportunities.
  • Competitive compensation and long-term career growth

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