V

Senior AI Engineer

ventureone • United Arab Emirates
Relocation
This Job is No Longer Active This position is no longer accepting applications

Lead the design and development of AI-enabled products from concept to MVP, including LLM applications, RAG systems, AI agents, and workflow automation. Build scalable, safe, and reliable AI systems with strong software engineering judgment and product thinking. Requires hands-on experience with Python, LLMs, embeddings, vector databases, and AI orchestration.

Key Highlights
Design and build LLM-based applications, RAG systems, and AI agents
Lead technical direction for AI products from early concept to production readiness
Ensure AI safety, privacy, and responsible AI practices
Key Responsibilities
Lead the design and development of AI enabled products from early concept to MVP, customer validation, and early production readiness
Translate ambiguous business problems into AI solution designs, experiments, architecture diagrams, evaluation plans, and working systems
Design and build LLM based applications using commercial and open source models through APIs, hosted inference, or private deployments
Build RAG systems including document ingestion, parsing, chunking, embeddings, vector search, hybrid search, reranking, citation generation, access control, and answer evaluation
Design orchestration patterns for multi step AI workflows, including planning, tool execution, guardrails, retries, fallback paths, state management, and traceability
Build AI evaluation pipelines using golden datasets, test cases, automated checks, human review, quality scoring, regression testing, and failure analysis
Evaluate model quality, prompt performance, retrieval accuracy, hallucination rate, latency, cost, reliability, safety, and user experience
Design AI systems with human oversight, auditability, traceability, permissions, data privacy, and clear failure handling
Work with structured and unstructured data, including PDFs, images, forms, emails, transcripts, logs, knowledge bases, and enterprise records
Partner with Senior Full Stack Engineers to integrate AI capabilities into complete products, APIs, dashboards, workflows, and customer facing experiences
Build reusable AI components such as prompt templates, agent patterns, evaluation harnesses, model gateways, retrieval services, and reference architectures
Identify and manage AI risks including hallucination, prompt injection, data leakage, unsafe outputs, retrieval errors, model drift, cost spikes, and poor user trust
Document AI architecture, assumptions, limitations, evaluation results, risk controls, and operational requirements
Stay close to AI industry developments and convert relevant ideas into practical product opportunities for VentureOne
Contribute to hiring, technical assessment, mentoring, and AI capability building for the Foundry team
Technical Skills Required
Python LLM applications RAG systems
Benefits & Perks
tax-free salary
education allowance
free on-site meals
annual flight allowance
health coverage
relocation support
well-being activities
Nice to Have
Experience with agentic systems, AI workflow builders, orchestration platforms, multi agent systems, or AI control planes
Experience with cloud AI services on AWS, Azure, GCP, or private cloud environments
Experience with model gateways, model routing, prompt versioning, prompt registries, experiment tracking, and AI observability
Experience with document intelligence, OCR, form extraction, classification, summarization, entity extraction, and knowledge graph enrichment
Experience with AI governance, audit trails, human oversight, model evaluation, policy controls, and responsible AI frameworks
Experience in regulated domains such as government, fintech, identity, real estate, health, or enterprise platforms
Experience building customer facing AI products, not only research prototypes
Experience creating reusable AI patterns, reusable prompts, agent templates, evaluation frameworks, and reference architectures
Experience deploying AI capabilities with security, tenant isolation, role based access, cost monitoring, and production monitoring

Job Description

VentureOne is not just a company; it is an innovation hub, a hotbed of creativity, and a place where groundbreaking ideas become reality. Our team is a diverse mix of visionaries, strategists, and go-getters, all united by a shared mission: to redefine industries and pave the way for success, both locally and globally.We are looking for a Senior AI Engineer to join the VentureOne Foundry team. This team explores new venture ideas, builds working MVPs, validates them with customers, and helps create new products across different domains.
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