Senior AI Engineer

About Us

Venture One 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 Venture One 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.

• 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 Venture One.
• Contribute to hiring, technical assessment, mentoring, and AI capability building for the Foundry team.

• 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 Lang Chain, Llama Index, Semantic Kernel, Haystack, Auto Gen, CrewAI, Flowise, or…