Senior AI Engineer

Job not on LinkedIn

🔥 7 minutes ago

🇦🇪 United Arab Emirates (UAE) – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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datavent.io

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🤝 B2B

🤖 Artificial Intelligence

💼 Consulting

B2B • Artificial Intelligence • Consulting

datavent. io is a B2B data engineering and platform consulting firm that builds cloud-native, AI-ready data platforms and lakehouse architectures for analytics and production AI. They deliver end-to-end services — architecture, ingestion, transformation, modeling, MLOps/RAG pipelines, vector stores/feature stores, and ongoing platform stewardship — on customers' clouds and stacks (AWS, GCP, Azure, Snowflake, Databricks or on-prem) with a no-vendor-lock-in approach. The company emphasizes production outcomes (ship production pipelines, not prototypes), rapid delivery, and integrations across many data sources for enterprises in industries like banking, telecom, manufacturing and B2B SaaS.

📋 Description

• Develop Python applications that connect large language models to data, APIs, and tools • Build and improve retrieval-augmented generation (RAG) workflows, including document processing, chunking, embeddings, and retrieval • Support document intelligence pipelines that extract structured, source-linked information from complex documents • Implement and test agent workflows, including tool use and human approval steps • Create evaluation datasets and compare answer quality, retrieval performance, latency, and cost • Add tests, logging, and documentation to make AI applications easier to operate and improve • Work alongside experienced engineers • Gain exposure to the full application lifecycle, from experimentation and evaluation to deployment and monitoring

🎯 Requirements

• Practical Python skills with APIs, JSON, and Git • Good understanding of large language models and curiosity in how AI applications are built • A careful approach to testing: understanding when a system works, when it fails, and why • Good English communication skills • A university or personal project involving LLMs, RAG, embeddings, or AI agents • Experience with Amazon Bedrock, Claude, vector databases, FastAPI, Docker, or an AI application framework • Applicants do not need to meet every listed requirement to apply

🏖️ Benefits

• 1 day of annual leave • Exposure to the full application lifecycle, from experimentation and evaluation to deployment and monitoring • A small team where your questions, ideas, and contributions matter