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AI Engineer Intern at Softobiz to assist in developing and deploying AI/ML models and solutions.
Builds and maintains the core AI infrastructure platform, ensuring scalability, reliability, and security for a high-growth AI company’s distributed systems using IaC, GitOps, and coding in Go/Python/Rust.
Leads high-stakes engineering programs across distributed teams, defining scope, timelines, and risk while collaborating with engineers, product managers, and stakeholders to deliver complex initiatives and improve workflows with AI-native tooling.
Leads a team of AI/ML specialists to drive Snowflake’s Cortex AI and ML product adoption, bridging field/customer insights with product roadmap decisions to maximize customer outcomes and platform value.
The Senior Solutions Architect will own the end-to-end technical design of LLM and AI platform capabilities, translating business requirements into actionable technical plans and architecture standards.
QA Automation Engineer ensures software reliability by combining manual and automated testing (Playwright/Cypress/Selenium) for web apps and APIs, managing test plans, defect tracking, and Agile collaboration.
The AI/ML Engineer will design and build generative AI solutions, including RAG and agentic frameworks, using Python. This is a hybrid role based in Phoenix requiring collaboration with cross-functional teams to ensure secure and scalable AI delivery.
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.
Designs cloud-native AI systems using LLMs and autonomous agents on Google Cloud Platform for high-tech clients.
Customer Engineer specializing in AI/ML who partners with sales teams to design cloud solutions, troubleshoot technical issues, and guide enterprise customers through Google Cloud adoption.
Design AI-first reference architectures and standards for ServiceNow partners, guiding them to build scalable, outcome-driven solutions on the Now Platform using FLIGHT and design thinking.
Builds and maintains scalable data pipelines and infrastructure to process raw data into actionable insights, collaborating with data scientists and analysts in a fast-paced startup environment focused on AI solutions.
Build and maintain scalable data pipelines to transform raw data into insights for AI solutions, collaborating with data scientists and engineers.
Builds scalable data pipelines and AI platforms for clients, focusing on ETL, analytics, and ML deployment while mentoring junior engineers.
Designs and optimizes cloud-native platform infrastructure (Azure/Kubernetes) for AI-driven enterprise clients, focusing on CI/CD pipelines, automation, and scalable DevOps solutions.
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.
Architect and demo LLM-powered AI solutions for enterprise prospects, bridging technical discovery and sales to accelerate AI adoption across industries.
You design and own the reusable component layer that powers Cadre AI’s AI systems, turning bespoke client builds into configurable modules to maximize reuse and margin.
You demo and architect LLM-powered AI solutions for Fortune 500 clients, translating their needs into live demos and guiding technical discovery to accelerate AI adoption.
Builds AI-driven enterprise integrations (APIs, SAP) for procurement workflows, collaborating with customers to design scalable solutions and automate deployments.
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