Artificial Intelligence Engineer

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