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Engineer - AI

emit

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What AI roles keep asking for: LLMs (30%), Python (28%), AWS (21%), Generative AI (18%), Machine learning (16%), Observability (15%), RAG (13%) — counted across their open postings here.

Azure jobs · Data modelling jobs · LLMs jobs

emit has 3,989 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for AI roles keep coming back to LLMs, Python, AWS, Generative AI. Practise those questions before you sit with emit.

Questions you are likely to be asked

  1. Why do you want to join emit?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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Practise the Engineer - AI at emit interview free →

We are seeking a Knowledge Engineer to support the development of MAV for structured ingestion, reasoning, and retrieval of complex mining and asset information. The successful candidate will design and implement end-to-end knowledge extraction and ingestion pipelines, transforming unstructured and semi-structured technical documents (PDFs, reports, drawings) into RDF-based knowledge graphs, and enabling graph-native retrieval and reasoning workflows (GraphRAG). This role sits at the intersection of knowledge engineering, AI-driven extraction (LLM + vision), ontology design, and graph analytics. Proven experience as a Knowledge Engineer, Ontology Engineer, or Knowledge Graph Engineer. Strong understanding of RDF, OWL, SPARQL, and semantic data modeling. Hands-on experience with RDF-based graph repositories (GraphDB, RDFox, Apache Jena, Neptune, etc.). Experience designing automated knowledge extraction pipelines using LLMs. Familiarity with vision-based document processing (OCR, layout analysis, multimodal extraction). Experience designing retrieval pipelines from structured knowledge graphs. Familiarity with Azure-based AI and data platforms. Experience with GraphRAG or hybrid graph + LLM architectures. BGV: Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India. Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.

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Listed on oraclehcm · posted 2026-08-24. ApplySarthi collects openings and links to application pages; the role is advertised by emit, not by us.