Senior AI Engineer
Design and deliver scalable enterprise-grade Generative AI solutions using LLM pipelines, RAG, and agentic systems. Lead the end-to-end production of AI products while managing timelines and milestones within an Agile environment.
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Design and deliver scalable enterprise-grade Generative AI solutions using LLM pipelines, RAG, and agentic systems. Lead the end-to-end production of AI products while managing timelines and milestones within an Agile environment.
The Staff AI Engineer will architect and own ShiftKey's AI infrastructure, focusing on the organizational knowledge platform and agentic infrastructure on AWS. This includes evolving retrieval layers, building reference agent implementations, and managing the AI infrastructure cost model.
Design and build the orchestration and abstraction layers of a central AI system, connecting LLMs to tools and data. Establish strategies for retrieval (RAG), tool-surface design, and the use of specialized sub-agents.
Define and own the end-to-end model training strategy for Commercial AI products, covering both traditional ML and LLMs. Manage the entire data lifecycle including sourcing, curation, governance, and the creation of reproducible training pipelines.
Build and maintain internal agentic workflows to automate support and go-to-market operations. Own the end-to-end reliability of these tools, including evaluations, monitoring, and integration with existing company systems.
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Build AI-native systems, agents, and automation workflows to optimize financial services and internal operations for a Neobank app. Design and implement reliable AI experiences for onboarding, KYC, risk review, and product intelligence while managing latency and accuracy.
Build AI-native systems and agents to automate financial workflows for a Neobank app. Design and implement reliable AI experiences for onboarding, KYC, and operations while managing constraints like latency and hallucination risk.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and savings. Design reliable systems for transactions, partner integrations, and regulated financial product infrastructure.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app across various financial sectors. Design reliable systems for transactions, partner integrations, and regulated financial products while improving system observability and performance.
Build AI-native systems, assistants, and automated workflows to optimize financial services and internal operations. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build AI-native systems, agents, and automated workflows to optimize financial services and internal operations for a Neobank app. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build end-to-end customer-facing and internal product features for an AI Neobank app. Develop web flows, backend APIs, and operational systems across financial services like insurance, payments, and investing.
Build end-to-end customer-facing and internal product features for an AI Neobank app. Develop web flows, backend APIs, and operational systems while collaborating with cross-functional teams to launch financial services quickly.
Design and build AI agents and tools that automate complex ERP workflows and business processes. Develop a composable, AI-first UI and an evaluation harness to measure agent performance and quality.
Design and deploy AI-powered autonomous workflows and agentic systems to automate manual business processes. Implement secure multi-step AI pipelines and integrate them with enterprise systems like ServiceNow and Okta.
Establish security standards, guardrails, and reference architectures for the AI platform to enable safe deployment of agents and workflows. Collaborate with cross-functional teams to build AI gateways and streamline the InfoSec review process for production services.
Deploy and operationalize AI-enabled security capabilities and SOC workflows within customer enterprise environments. Translate complex security requirements into scalable architectures and integrate various security tools like SIEM and SOAR.
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Lead the end-to-end design and delivery of scalable AI/ML systems and agentic architectures. Establish engineering standards and mentor junior engineers while aligning technical direction with business outcomes.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and improve app performance and reliability.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and improve app performance and reliability.
Provide personalized technical support to learners through 1:1 video calls and group Q&A sessions. Develop and deliver technical deep-dive presentations on AI concepts and project rubrics.
Develop high-performance web and mobile applications while integrating agentic AI workflows across the entire software development life cycle. Lead the team in defining AI-native engineering standards and owning features from design through production monitoring.
Design and maintain scalable ML pipelines and cloud infrastructure to operationalize Generative AI models. Collaborate with data scientists and SRE teams to ensure high availability, security, and observability of production systems.
Own the render pipeline and agent loops for the AI Social product to produce on-brand Instagram content. Collaborate with product and design partners to ensure high visual quality and technical polish of generative media.
Develop and deploy AI-driven systems to automate manual go-to-market workflows, including outbound engines and content pipelines. Build real-time GTM data dashboards and rapid patches for workflow gaps to accelerate pipeline movement.
Own the end-to-end technical strategy for iHerb's AI Platform and GenAI product experiences, including the shared infrastructure and user-facing AI layers. Lead the design of retrieval infrastructure, model lifecycles, and evaluation frameworks while mentoring senior engineers.
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Lead the design, training, and deployment of advanced ML and LLM systems to improve patient and provider interactions. Develop robust evaluation frameworks and infrastructure to ensure the safety and accuracy of clinical AI tools.
Design and deploy advanced ML and LLM systems to improve healthcare delivery for clinicians and patients. Define technical strategy, build robust evaluation frameworks, and manage the end-to-end lifecycle from data exploration to production monitoring.
Research and implement state-of-the-art Gen AI and ML solutions to solve complex National Security problems for customers. Translate real-world challenges into reusable solution recipes and platform capabilities to evolve Snorkel's AI tooling.
Build the core intelligence layer by training and fine-tuning open-source models using proprietary clinical data. Develop rigorous evaluation pipelines and scalable inference infrastructure to power LLM-driven workflows for clinicians.
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