Data & AI Engineer
Our client is seeking a pragmatic, hands-on Data & AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You’ll join our client’s team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
Key Skills & Experience
- Python software development – Strong, production-level coding skills to build reliable, maintainable AI services.
- End-to-end software delivery – Experience designing, building, testing, deploying, and operating production-grade systems.
- AI/LLM application development – Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
- AI system lifecycle – Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
- AI evaluation and metrics – Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
- Working with multiple model providers – Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
- Prompt and agent design – Experience treating prompts and agent instructions as versioned, testable software artifacts.
- Systems integration – Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
- Advanced AI techniques – Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
- Model adaptation foundations – Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
- Business and data understanding – Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
