Extend the shared capability APIs (speech, vision, document extraction) and keep them fast and cheap enough that agencies reach for them instead of building their own
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Develop security controls and guardrails to mitigate AI-specific risks, including prompt injection, data leakage, adversarial attacks and agent-related vulnerabilities.
Build production features for products such as procurement automation, teacher-facing AI tools, learning assistants, and evaluation/monitoring platforms.
Develop production-quality backend services in Python and/or other modern languages with strong attention to reliability, observability, testing, maintainability, and secure deployment.
Design extensible AI data processing, knowledge engineering, and indexing frameworks with unified interfaces to adapt to new sources, formats, languages, models, rules, and algorithms; support incremental updates, index rebuilds, historical backfill, deletion, and authorization expiry.
Develop production-quality backend services in Python and/or other modern languages with strong attention to reliability, observability, testing, maintainability, and secure deployment.
Implement and enhance knowledge base, retrieval-augmented generation, and memory-store solution components under approved architecture patterns to support scalable Generative AI, Machine Learning, Analytics and Agentic AI use cases.
Improve the efficiency, safety and reliability of agent execution: drive down token cost and latency, ensure isolation and controlled access to internal resources
Lead the implementation and operationalisation of knowledge base and retrieval-augmented generation solution stacks to support scalable GenAI and agentic use cases across business domains.
Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Drive the architecture, implementation, and governance of RESTful APIs, microservices, and system integrations in alignment with enterprise standards and platform strategies.
Architect real-time and near-real-time data feeds for AI agents that require current information: market data integration, news and research feed ingestion, portfolio event streaming, and alert-triggering data pipelines — with latency and freshness SLAs defined and enforced.