{"id":1878282,"url":"https://alion.io/job/ventureone-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":2304682,"name":"VentureOne","domain":"ventureone.ae","url":"https://alion.io/company/ventureone","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"CrewAI","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"Flowise","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"Haystack","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Weaviate","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OCR","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-07-03T09:45:26Z","employer_posted_date":"2026-08-31","last_verified_at":"2026-10-13T04:45:18Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":100},"description":"About us\nVentureOne 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.\nAbout the role\nWe 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.\nThis is a hands on technical leadership role for an AI engineer who can design, build, evaluate, and scale applied AI systems. The Senior AI Engineer will lead the development of AI enabled products, including LLM applications, RAG systems, AI agents, workflow automation, copilots, document intelligence, evaluation frameworks, and AI powered decision support tools.\nThe role requires strong AI engineering, strong software engineering judgment, product thinking, and the ability to build systems that are useful, measurable, safe, reliable, and ready for customer validation.\nKey Responsibilities:\nLead the design and development of AI enabled products from early concept to MVP, customer validation, and early production readiness.\nTranslate ambiguous business problems into AI solution designs, experiments, architecture diagrams, evaluation plans, and working systems.\nDesign and build LLM based applications using commercial and open source models through APIs, hosted inference, or private deployments.\nBuild RAG systems including document ingestion, parsing, chunking, embeddings, vector search, hybrid search, reranking, citation generation, access control, and answer evaluation.\nBuild AI agents and tool calling workflows that can use APIs, databases, search, documents, business rules, and human review steps.\nDesign orchestration patterns for multi step AI workflows, including planning, tool execution, guardrails, retries, fallback paths, state management, and traceability.\nBuild AI evaluation pipelines using golden datasets, test cases, automated checks, human review, quality scoring, regression testing, and failure analysis.\nEvaluate model quality, prompt performance, retrieval accuracy, hallucination rate, latency, cost, reliability, safety, and user experience.\nDesign AI systems with human oversight, auditability, traceability, permissions, data privacy, and clear failure handling.\nWork with structured and unstructured data, including PDFs, images, forms, emails, transcripts, logs, knowledge bases, and enterprise records.\nPartner with Senior Full Stack Engineers to integrate AI capabilities into complete products, APIs, dashboards, workflows, and customer facing experiences.\nBuild reusable AI components such as prompt templates, agent patterns, evaluation harnesses, model gateways, retrieval services, and reference architectures.\nIdentify and manage AI risks including hallucination, prompt injection, data leakage, unsafe outputs, retrieval errors, model drift, cost spikes, and poor user trust.\nDocument AI architecture, assumptions, limitations, evaluation results, risk controls, and operational requirements.\nStay close to AI industry developments and convert relevant ideas into practical product opportunities for VentureOne.\nContribute to hiring, technical assessment, mentoring, and AI capability building for the Foundry team.\nMinimum Qualifications:\nStrong experience building applied AI products, LLM based applications, AI platforms, or machine learning systems.\nProven ability to lead technical direction for AI systems in complex and ambiguous environments.\nHands on experience with LLMs, prompt design, embeddings, vector databases, RAG, model APIs, structured outputs, and AI orchestration.\nExperience building AI agents, tool calling workflows, function calling, workflow automation, or AI powered business processes.\nStrong programming experience in Python and strong understanding of production software engineering practices.\nExperience with AI frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, CrewAI, Flowise, or similar tools.\nExperience with vector stores and search systems such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, Azure AI Search, or similar platforms.\nExperience designing ingestion pipelines for documents, text, tables, metadata, permissions, and enterprise knowledge sources.\nExperience evaluating AI systems using structured test sets, quality metrics, automated evaluation, human review, benchmark based approaches, or production feedback loops.\nGood understanding of APIs, back end services, data pipelines, cloud deployment, observability, logging, tracing, and system integration.\nStrong understanding of AI safety, responsible AI, privacy, security, prompt injection defense, data leakage prevention, and operational failure modes.\nAbility to optimize AI systems for cost, latency, quality, reliability, and scalability.\nAbility to move quickly from idea to prototype while maintaining clear thinking about evaluation and production readiness.\nStrong communication skills with the ability to explain AI behavior, limitations, risks, and tradeoffs to technical and non technical stakeholders.\nPreferred Qualifications:\nExperience with agentic systems, AI workflow builders, orchestration platforms, multi agent systems, or AI control planes.\nExperience with cloud AI services on AWS, Azure, GCP, or private cloud environments.\nExperience with model gateways, model routing, prompt versioning, prompt registries, experiment tracking, and AI observability.\nExperience with document intelligence, OCR, form extraction, classification, summarization, entity extraction, and knowledge graph enrichment.\nExperience with AI governance, audit trails, human oversight, model evaluation, policy controls, and responsible AI frameworks.\nExperience in regulated domains such as government, fintech, identity, real estate, health, or enterprise platforms.\nExperience building customer facing AI products, not only research prototypes.\nExperience creating reusable AI patterns, reusable prompts, agent templates, evaluation frameworks, and reference architectures.\nExperience deploying AI capabilities with security, tenant isolation, role based access, cost monitoring, and production monitoring.\nWe provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.Join us to drive innovation and shape the future of technology!\nHow to Apply:\nAre you ready to embark on an exciting journey with VentureOne? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.\nAt VentureOne, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!","description_format":"text","description_chars":7426,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Quantum Science & Computing","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-04T23:05:21Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.332,"p_room":0.28,"age_days":100,"expected_fill_days":22,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/ventureone-senior-ai-engineer","json_url":"https://alion.io/job/ventureone-senior-ai-engineer.json","meta":{"generated_at":"2026-10-13T04:50:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2304682},"rest":"https://alion.io/mcp/rest/get_company?id=2304682"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fventureone-senior-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fventureone-senior-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fventureone-senior-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ventureone-senior-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fventureone-senior-ai-engineer"}]}