Senior AI Development Engineer

4 days ago


Anand, Gujarat, India beBeeArtificial Full time ₹ 30 - ₹ 40
Job Description

This role entails the design and implementation of industrial-grade AI systems. These systems are intended to transform PDFs, CAD/vector drawings, incident reports, and regulations into auditable, evidence-linked decisions.

Key Responsibilities:
  • Create multimodal retrieval architecture over PDFs (text/tables/images), CAD/vector drawings, MSDS/chemicals, and bilingual (KOR/ENG) regulations.
  • Develop hybrid retrieval with reranking; target ≥90% top-k answerability and traceable citations.
  • Build domain embeddings for bilingual technical terminology; craft routing/prompting for audit-ready outputs.
Additional Responsibilities:
  • Integrate external APIs (e.g., KOSHA, OSHA, EPA).
  • Orchestrate ensemble decisioning with SLA < 10s; cost-optimized LLM flows (tool-use, caching, distillation).
  • Operate on AWS EKS, Postgres, Pinecone, Temporal/Argo, Prometheus/Grafana.
Requirements
  • 7+ years building production AI/ML or search systems; 3+ enterprise deployments end-to-end.
  • Expert Python 3.11+, SQL; strong systems thinking and data modeling.
  • RAG at scale: vector DBs (Pinecone/Weaviate/FAISS), BM25, rerankers, prompt/routing strategies, evals (faithfulness, coverage, latency).
Nice-to-Have Skills:
  • Knowledge graphs (Neo4j/RDF/SPARQL), schema alignment/ontologies.
  • VL/Document AI (LayoutLMv3, Donut), CAD/vector parsing, safety/compliance domain exposure.

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