InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles. As a Lead AI Engineer, you will drive the technical direction of the AI stack, oversee the design and deployment of advanced models, and ensure the scalability and reliability of AI systems.
Responsibilities:
- Build and maintain scalable pipelines for structured/unstructured data ingestion, transformation, and feature engineering
- Lead the deployment of ML models and LLMs into production, ensuring performance, reliability, and traceability
- Architect and oversee fine-tuning pipelines for LLMs with versioned checkpoints, evaluation suites, and experiment tracking
- Design and implement automated evaluation frameworks (A/B testing, LLM-as-judge, validation suites) and monitoring dashboards to track latency, accuracy, drift, and trigger retraining or alerts
- Guide feature engineering, imputation, and transformation strategies in complex, real-world scenarios
- Implement and optimize retrieval-augmented generation (RAG) workflows, vector search approaches, and knowledge-grounding strategies
- Lead the development of enterprise-grade agentic workflows, tooling integrations, and agent evaluation methods
- Optimize inference speed, memory usage, and cost for high-throughput systems across the platform
- Own reliability and performance of models in production, solving challenges around latency, accuracy, drift, and scaling
- Collaborate with product and delivery teams to ship client-ready, measurable outcomes and accelerate new AI-driven features