
Industrial Grade AI System Developer
2 days ago
A Senior Gen AI Specialist is required to join our team.
About the Role- Design and Build: Industrial-grade AI systems that turn documents into auditable decisions.
- Key Responsibilities:
- Design multimodal RAG over PDFs, CAD/vector drawings, MSDS/chemicals, and bilingual regulations.
- Implement 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.
- Ingest/normalize heterogeneous sources (ERP/MES exports, legacy DBs, SharePoint, IoT streams).
- Ship 10k+ document-type ingestion with schema validation, redaction, and temporal versioning for regulatory drift.
- Orchestrate ensemble decisioning (rules + priors + ML) with SLA < 10s; cost-optimized LLM flows (tool-use, caching, distillation).
- Operate on AWS EKS, Postgres, Pinecone, Temporal/Argo, Prometheus/Grafana; CI/CD with test & eval gates.
- Build explanation layers (attribution, chain-of-evidence; SHAP/LIME where applicable) and human-in-the-loop feedback.
- >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).
- MLOps/SRE: versioning, canaries/A-B, drift detection, observability, cost/perf trade-offs.
- Knowledge graphs (Neo4j/RDF/SPARQL), schema alignment/ontologies.
- VL/Document AI (LayoutLMv3, Donut), CAD/vector parsing, safety/compliance domain exposure.
GPT-4o/GPT-4.1, Gemma-3 27B-VL, Qwen-VL, rerankers (Cohere/MXBAI), YOLOv8/RT-DETR, LayoutLMv3/DocFormer/Donut, FastAPI, Python, TypeScript, AWS EKS, Pinecone, Postgres, Temporal, Prometheus/Grafana.
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