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Principal Product Manager II, AI/Vectors
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
AI/ML Engineer
Build and ship AI-powered features like LLM agents and event intelligence for a large-scale incident management platform, working with LLMs, retrieval, and distributed systems.
Senior AI/ML Engineer
Build and ship production-grade AI systems—LLM agents, retrieval, and event intelligence—that power incident management and automation at scale for thousands of customers.
Forward Deployed Engineer, Enterprise
Builds and deploys AI-powered systems for Tavily’s enterprise clients, bridging technical and business needs across the customer lifecycle. Core focus: RAG pipelines, agent workflows, and API integrations.
Forward Deployed Engineer, Ecosystem
Builds and prototypes AI integrations for Nebius’s cloud platform, shaping reference architectures and product requirements while collaborating with partner engineering teams.
Forward Deployed Engineer, Enterprise - Tavily
On-site engineer in New York partners with enterprise customers to design, prototype, and deploy AI systems using Tavily’s search API, from early discovery to production rollout.
Senior Applied AI Solutions Engineer
Builds and deploys AI/ML prototypes on a cloud platform, supports enterprise customers through technical onboarding, and feeds insights into product development.
Forward Deployment Engineering Manager
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
Senior AI Specialist
ABOUT LVT LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure.…
Sr. Machine Learning Engineer
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Lead AI Engineer ID80141
Lead a team to architect GenAI workflows for cloud security, automating drift detection and compliant IaC generation using RAG, LLM APIs, and Terraform.
Senior Agentic AI Engineer ID80140
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Fullstack Developer (AI)
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
AI Full Stack Engineer
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Principal Software Engineer
Leads hands-on software engineering for a global professional services client, designing AI-powered enterprise systems, mentoring engineers, and integrating modern cloud/AI tools into production.
Lead FullStack Engineer
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
AI Solutions Engineer
Designs and deploys AI-driven automation solutions to streamline workflows across engineering, operations, and business teams at a fusion energy startup, leveraging LLMs, cloud infrastructure, and agentic systems.
AI Tech Architect/Devops
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.