Senior AI Engineer

About us

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.

About the role

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.

This 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.

The 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.

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.
• Build AI agents and tool calling workflows that can use APIs, databases, search, documents, business rules, and human review steps.
• 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.

Minimum Qualifications:

• Strong experience building applied AI products, LLM based applications, AI platforms, or machine learning systems.
• Proven ability to lead technical direction for AI systems in complex and ambiguous environments.
• Hands on experience with LLMs, prompt design, embeddings, vector databases, RAG, model APIs, structured outputs, and AI orchestration.
• Experience building AI agents, tool calling workflows, function calling, workflow automation, or AI powered business processes.
• Strong programming experience in Python and strong understanding of production software engineering practices.
• Experience with AI frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, CrewAI, Flowise, or similar tools.
• Experience with vector stores and search systems such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, Azure AI Search, or similar platforms.
• Experience designing ingestion pipelines for documents, text, tables, metadata, permissions, and enterprise knowledge sources.
• Experience evaluating AI systems using structured test sets, quality metrics, automated evaluation, human review, benchmark based approaches, or production feedback loops.
• Good understanding of APIs, back end services, data pipelines, cloud deployment, observability, logging, tracing, and system integration.
• Strong understanding of AI safety, responsible AI, privacy, security, prompt injection defense, data leakage prevention, and operational failure modes.
• Ability to optimize AI systems for cost, latency, quality, reliability, and scalability.
• Ability to move quickly from idea to prototype while maintaining clear thinking about evaluation and production readiness.
• Strong communication skills with the ability to explain AI behavior, limitations, risks, and tradeoffs to technical and non technical stakeholders.

Preferred Qualifications:

• 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.

We 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!

How to Apply:

Are 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.

At 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!