remoteonsite
AI Software Engineer - S&P Global
Software Engineer
Design and implement agentic AI platform components, building end‑to‑end workflows, integrations, and observability pipelines to deliver reliable, cost‑effective AI solutions for complex business problems.
About the role
Key Responsibilities
- Design and develop modular agentic AI platform components, including autonomous agents, toolkits, and workflow orchestration.
- Integrate AI solutions with internal systems and data sources, ensuring seamless data flow and secure communication.
- Implement comprehensive observability across the AI lifecycle—tracing, logging, metrics, and evaluation pipelines—to monitor model performance, cost, and reliability.
- Collaborate with product, data, and infrastructure teams to translate business challenges into scalable AI solutions.
- Optimize AI workloads for production, including model serving, resource management, and cost efficiency on cloud platforms.
Requirements
- Strong proficiency in Python and experience building machine‑learning pipelines.
- Hands‑on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and agentic AI concepts.
- Solid understanding of observability tools and practices (OpenTelemetry, Prometheus, Grafana, logging frameworks).
- Experience deploying and managing services on cloud platforms such as AWS or GCP.
- Ability to work cross‑functionally, communicate technical concepts clearly, and deliver production‑ready AI systems.
Skills
pythonmachine learning