AI Integration Engineer (MCP & SQL)
Design and develop MCP servers to securely expose data and tools to AI agents and applications. Integrate these solutions with SQL databases, APIs, and corporate systems while ensuring performance and security.
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Design and develop MCP servers to securely expose data and tools to AI agents and applications. Integrate these solutions with SQL databases, APIs, and corporate systems while ensuring performance and security.
Design and build end-to-end features for routing and navigation products while collaborating with product managers and designers. Mentor junior engineers and advocate for technical excellence within the team.
Review and annotate robotic system videos by providing feedback based on electrical and electronic system observations. Analyze complex electrical schematics and document technical anomalies to assist machine learning specialists.
Review and annotate videos of robotic systems and mechanical components to support AI training. Ensure technical accuracy of annotations and provide feedback on complex or ambiguous examples.
Design and maintain scalable data pipelines using Airflow while developing production-grade Python code for API integrations and data processing. Manage infrastructure as code with Terraform and ensure data quality, reliability, and governance across the Snowflake data warehouse.
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Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code and modern CI/CD pipelines. Collaborate with development teams to optimize performance, observability, and security for mobile backends on GCP.
The role involves designing and implementing a comprehensive data governance and security framework across Google Workspace and Google Cloud Platform. You will be responsible for configuring data classification, access controls, and automated compliance workflows to ensure enterprise-wide data protection.
The engineer will investigate the origin and cause of failures in residential, commercial, and industrial structures while performing field investigations and multi-party examinations. They are also responsible for preparing detailed reports, providing expert testimony, and managing complex multi-disciplinary assignments.
Develop, deploy, and maintain batch and API-based data pipelines while automating cloud and operational tasks. Collaborate with technical leaders to build governed data products and support AI-enabled workflows using Azure and Databricks.
The role involves leading the development, support, and optimization of critical business data systems and reporting platforms. Responsibilities include designing robust SQL-based architectures, developing ETL pipelines, and ensuring the integrity and performance of enterprise data solutions.
The Technical Support Engineer will diagnose and resolve complex technical issues related to Docusign CLM and IAM platforms while managing the end-to-end customer support experience. They will collaborate with cross-functional teams to optimize platform performance and provide strategic guidance to customers to maximize product adoption.
The role involves implementing well-defined features, fixing bugs, and supporting continuous improvement of services. You will participate in code reviews, maintain documentation, and utilize AI tools to assist in development and testing.
The software engineer will develop, maintain, and evolve distributed systems while taking ownership of specific features from conception to validation. They will also collaborate on technical solutions, participate in code reviews, and support junior team members.
Define and lead the AI/ML engineering strategy and shared platform architecture for the FAA's ATLAS program. Implement end-to-end MLOps practices and deliver production-ready AI capabilities while ensuring compliance with federal AI policies and security standards.
The Software Engineer III will maintain, modernize, and evolve existing C# and .NET applications while investigating and resolving complex production incidents. They will also design APIs, implement architectural improvements, and mentor other team members while gradually adopting Ruby on Rails.
The Sales Engineer will develop revenue through consultative selling and provide technical presales support for mobile and IoT management solutions. They will perform product demonstrations, present solution architectures, and collaborate with internal teams to address customer requirements.
You will lead graphics initiatives, including shader workflows and rendering techniques, while designing custom Unreal Editor tools to optimize content pipelines. Additionally, you will provide technical leadership and mentor team members to ensure high-performance rendering across various platforms.
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The Mobile Analytics Engineer will investigate and diagnose tracking issues, including performance drops and data mismatches, while liaising with ad partners. They are responsible for validating SDK and datalayer configurations across markets and maintaining documentation for tracking setups.
You will design and develop scalable, AI-driven security infrastructure and microsegmentation capabilities for distributed environments. Additionally, you will lead technical initiatives, perform code reviews, and mentor team members while collaborating across cross-functional teams.
You will work on all aspects of software development including back-end, front-end, and cloud infrastructure while driving high standards for reliability and scalability. You will also collaborate with cross-functional teams and mentor junior engineers to deliver high-quality product features.
You will provide technical leadership to design, build, and scale a next-generation control plane using Kubernetes and cloud-native technologies. Additionally, you will lead the transformation toward a highly available, distributed microservices architecture while building automation to reduce operational toil.
You will lead the design, build, and scaling of a next-generation control plane using a distributed microservices architecture. Additionally, you will contribute to the operation of a globally-deployed platform while building automation to reduce operational toil and improve incident response.
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The role involves designing, maintaining, and executing automated test scripts for UI, functional, and regression testing within an Agile environment. It also requires supporting manual testing, managing defects, and integrating tests into Azure DevOps pipelines.
You will design, implement, and verify IP blocks and subsystems for inference ASICs using SystemVerilog RTL. You will also collaborate with cross-functional teams to resolve design issues, track PPA metrics, and contribute to microarchitecture documentation.
You will lead the microarchitecture and RTL design for complex IP blocks and subsystems, ensuring high-performance silicon outcomes. You will also mentor junior engineers and collaborate across cross-functional teams to drive architectural tradeoffs and signoff processes.
The engineer will own synthesis, timing convergence, and implementation readiness for key partitions within an AI accelerator roadmap. They will collaborate with cross-functional teams to develop synthesis flows, optimize netlists, and drive physical-aware optimization.
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