Top Tech Jobs & Startup Jobs

Design, scale, and optimize a generative conversational AI platform and conversation engine for enterprise use. Build product infrastructure and APIs, improve performance and memory/latency, implement logging/tracing/metrics, enable domain-specific and multilingual experiences, and collaborate with ML, product, and support teams to deliver robust, scalable solutions.

Build and scale Moveworks' conversation engine for enterprise generative AI: design scalable APIs, optimize dialog performance and memory/latency, implement logging/tracing and monitoring, enable multilingual translation and domain-specific experiences, create engineer-facing product infrastructure, and collaborate with ML, product, and support teams.

Design, train, evaluate, and productionize LLMs and agentic AI systems. Build scalable compound AI architectures, improve latency/reliability, ensure responsible AI, and ship production-quality code and datasets.

Design, build, and productionize agentic AI systems (agent orchestration, sandboxed execution, latency optimization, agent memory, LLM self-reflection, enterprise knowledge graphs, multimodal I/O). Write robust, extensible, high-performance code, collaborate with ML, security, product, and UX teams, mentor engineers, and drive roadmap and product improvements to deliver reliable, scalable AI agent capabilities.

Lead strategy and market success for ServiceNow CRM in Automotive & Manufacturing. Support territory planning, coach account teams, help customers envision digital transformation and AI value, interlock with specialists, and drive solution wins while managing sales cycles and travel.

Design, build, and optimize scalable ML infrastructure for training, evaluating, and serving large language models. Automate ML workflows, improve LLM latency and production pipelines, and collaborate cross-functionally to deploy and monitor models at scale.

Develop and productionize NLU and agentic AI components using LLMs and multimodal models. Improve model quality, latency, reliability, evaluation, fine-tuning (RLHF/RLAIF/DPO), agent reasoning, multilingual and multimodal capabilities, and responsible AI infrastructure. Collaborate cross-functionally to ship product improvements and maintain high data quality and evaluation standards.

Build and productionize scalable ML infrastructure for training, evaluating, and serving large language models. Develop distributed training and inference pipelines, optimize LLM latency, create automation abstractions, and collaborate cross-functionally to scale ML systems and best practices.

Scale and optimize a generative conversation engine for enterprise use: build product infrastructure and APIs, optimize dialog performance and memory, enable multilingual support, implement logging/tracing/metrics and debugging tools, and collaborate with ML, product, and support teams to deliver robust, scalable conversational AI.

Manage and grow a UX design team focused on customer and partner digital experiences (ServiceNow University, portals, documentation). Lead end-to-end product design, mentor designers, drive design systems, collaborate with product and engineering, integrate AI into experiences, present strategy to stakeholders, and deliver scalable, user-centered solutions.