About the job

Build features and services across the AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.
Implement robust data processing and integration pipelines to enable high-quality AI applications and analytics.
Contribute to design docs, code reviews, testing, and operational playbooks to ensure reliability, maintainability, and resilience.
Partner with product and business stakeholders to define requirements, iterate quickly, and measure outcomes using clear success metrics.
Instrument telemetry and evaluation to monitor quality, safety, latency, and cost; improve performance based on data.
Follow responsible AI practices for security, privacy, compliance, and safety in collaboration with governance teams.
Participate in on-call and incident response rotations as appropriate; drive post-incident improvements.
Share learnings via demos and documentation; contribute to AI literacy and enablement across the org.

Requirements added by the job poster

• 3+ years of work experience with Agentic AI Development

• 3+ years of work experience with Large Language Models (LLM)

• 5+ years of work experience with Artificial Intelligence (AI