Data&AIEngineer

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.

• 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.