AI Engineer

🔥 34 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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JoVE

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

📚 Education

🔬 Science

Education • Science

JoVE is a video-first platform that produces and distributes peer-reviewed scientific and educational video content demonstrating laboratory methods, experiments, and science concepts. Used by universities, research institutions, and companies, JoVE provides thousands of protocol videos and educational products (JoVE Journal, JoVE Science Education, JoVE Core, JoVE Lab Manual, etc. ) to support research reproducibility and science teaching across life sciences, physical sciences, engineering, and related fields.

📋 Description

• Build hybrid retrieval using BM25, sparse and dense embeddings, with reranking over tens of millions of papers from sources including PubMed, OpenAlex and PMC full text. • Improve matching between papers, protocol steps, JoVE videos and timestamps, including organism, technique and study type awareness. • Build RAG and agentic pipelines for cited synthesis, Methods Q&A and troubleshooting, ensuring every claim traces to a source. • Extract method steps, reagents and parameters from papers and link each step to the matching video chapter. • Build evaluation sets with scientific editors and track relevance, citation accuracy, hallucination rate and match quality to gate releases. • Ship and operate models and LLM services in production while monitoring latency and cost per query. • Choose between hosted and open models. • Help build APIs and an MCP server for AI assistants, ELNs and publisher widgets to use JoVE’s methods data. • Measure the search, video-click and watch funnel with product teams and improve ranking.

🎯 Requirements

• 4+ years in software or ML engineering, including 2+ years shipping LLM, search or NLP features to production. • Strong Python and solid software engineering habits: testing, code review, CI/CD. • Hands-on experience building RAG systems: chunking, embeddings, hybrid retrieval, reranking and prompt design. • Experience with a vector or search engine such as Elasticsearch/OpenSearch, Milvus, pgvector, Qdrant or Pinecone. • Experience with LLM APIs (Anthropic, OpenAI or similar) and open models (Hugging Face, vLLM). • A track record of building offline evals and using metrics, not demos, to decide what ships. • Experience with agent frameworks, tool use, or building MCP servers. • Comfort with cloud infrastructure (AWS), Docker and API design. • Clear communication with non-engineers, including scientists and editors. • Experience with scholarly data: PubMed, OpenAlex, Semantic Scholar, PMC, or entity extraction for genes, organisms and methods. • Multimodal work: video transcripts, timestamp alignment, or image and video embeddings. • Fine-tuning embedding or reranker models, or learning-to-rank. • Experience with large-scale indexing (100M+ documents) and vector quantisation.

🏖️ Benefits

• A competitive compensation package. • We are fully remote! • You will make a direct impact in accelerating science research and education. • Opportunity to work with global teams and in an environment that promotes innovation and collaboration. • Our strong promotion from within culture draws a clear path to advance your career with us.

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