Senior GenAI Engineer
augury
Job Description
- Own the end-to-end lifecycle of GenAI and AgenticAI solutions, from problem definition and experimentation through deployment and monitoring.
- Design and implement scalable AI systems leveraging:
- Time-series modeling
- Signal processing
- LLMs and embeddings
- Agent orchestration frameworks
- Classical ML and deep learning approaches
- Build and optimize production-grade LLM pipelines, including RAG systems, embedding pipelines, multi-agent workflows, tool orchestration, and evaluation frameworks.
- Architect AgenticAI applications utilizing diverse inputs such as sensor-based industrial time-series data, unstructured text, and existing ML systems.
- Develop backend services and APIs in Python to support AI agents, orchestration workflows, and integrations with streaming/data infrastructure (e.g., Kafka, NSQ).
- Partner closely with Product, Engineering, Data Science, and customer stakeholders to identify opportunities and deliver impactful AI-powered solutions.
- Contribute to scalable MLOps and LLMOps frameworks for deployment, observability, evaluation, and monitoring.
- Monitor and improve production systems for performance, hallucinations, model drift, reliability, and cost optimization.
- Translate research and experimentation into scalable, maintainable, production-ready systems.
- Drive engineering excellence through architecture discussions, code reviews, and technical leadership.