DATA PREPARATION & MODELING: Transform raw data into high-quality datasets. Perform feature engineering, model selection, training, validation and hyperparameter tuning.
Own the technical architecture end to end, including model and platform selection, agent orchestration, evaluation, security and integration with Lenovo systems.
Front-End & Back-End Integration: Participate in web application development, seamlessly integrating AI capabilities (API / LLM services) into business systems to deliver intuitive user experiences.
Review and challenge model evaluation results, including assessments of performance (e.g. groundedness, factual accuracy, retrieval quality, relevance, and instruction adherence), and evaluate the reliability of LLM-as-a-Judge methodologies through calibration against human-labelled benchmarks.
Infrastructure & Engineering Excellence: Manage infrastructure and CI/CD pipelines while ensuring scalability, performance, security, and high code quality through best practices and governance.
Domain expert: You’ve scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
Apply AI-native engineering practices by structuring work for AI agents, providing clear context and constraints, and critically validating the outputs.
Work closely with product, business development, and sales teams to translate business objectives into well-defined technical requirements and delivery plans.
Experience with:- Rapid prototyping using AI-generated code- Prompt engineering for code generation- Code review and refinement of AI-generated solutions- Accelerated development workflows using AI assistance