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Top Entry Level Artificial Intelligence Software Engineer Jobs
Artificial Intelligence • Fintech • Greentech • Sales • Software • Travel • Hospitality
Own Perk’s global go-to-market engineering strategy, architecture, tooling, and roadmap. Build production-grade Clay automations, Salesforce integrations, orchestration systems, and AI-agent workflows using code and modern data infrastructure. Automate prospecting, seller workflows, account intelligence, and revenue operations while measuring commercial impact. Lead and develop a senior international team, partner with sales and revenue leaders, and establish engineering standards for scalable, monitored, tested, and recoverable systems.
Top Skills:
6SenseAi AgentsAPIsApolloBigQueryBomboraClayClearbitCognismDbtLlmsMakeN8NOutreachPredictleadsPythonSalesforceSalesloftSnowflakeSOQLSQLTypescriptUsergemsWebhooksWorkatoZoominfo
Artificial Intelligence • Healthtech • Software • Telehealth
Nourish is accepting applications from engineers interested in future building opportunities. The company develops an AI-native digital health platform connecting patients with dietitians, physicians, medications, lab testing, and AI agents to provide insurance-covered metabolic healthcare nationwide.
Top Skills:
Artificial Intelligence (Ai)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Database • Analytics
Early-career software engineers rotate across two InterSystems product teams after onboarding, contributing to front-end, back-end, or full-stack projects. Responsibilities include learning technologies and development practices, working on real codebases, collaborating cross-functionally, and applying software engineering fundamentals. Participants receive mentorship and may transition into a long-term software development role based on performance, interests, fit, and business needs.
Top Skills:
Ai/Agentic ToolsC#C++JavaJavaScriptPython
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.
Top Skills:
Ai-Assisted DevelopmentCloud-Native PlatformsDashboardsFull-Stack Web ApplicationsGrafanaLoggingMonitoring
Artificial Intelligence
Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.
Top Skills:
PythonReinforcement LearningTypescript
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Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.
Top Skills:
Automated TestingC#Ci/CdConfluenceGoGoogle Cloud PlatformGrpcJIRAKubernetesPythonReactRest ApisSQLTerraform
Artificial Intelligence • Cloud • Hardware • Software • Semiconductor
Develop AVIP and Virtual Bridge solutions, improve software stack performance, create QEMU-based device models, apply AI methods to debugging flows, optimize GSFIFO technology with the ixcom team, and collaborate with customers on requirements and next-generation AVIP protocol architecture.
Top Skills:
AIAvipDevice ModelingGsfifoQemuVirtual Bridge
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Artificial Intelligence • Semiconductor • Manufacturing
Design, prototype, and develop moderately complex software for semiconductor equipment components and devices. Build reusable software modules and libraries, create documentation and test procedures, troubleshoot software issues, implement bug fixes, and communicate with customers regarding requirements, schedules, and technical problems. The role involves Agile development, rapid prototyping, object-oriented design, parallel programming, and potentially AI and machine learning technologies.
Top Skills:
.NetAgileAi/MlAlgorithmsC#C/C++Design PatternsMulti-ThreadingNetworkingObject-Oriented DesignObject-Oriented ProgrammingOperating SystemsPythonSemiconductor Equipment SoftwareWcfWindowsWindows Forms
Artificial Intelligence • Semiconductor • Manufacturing
Supports customers by investigating complex software issues, managing release expectations, tracking software quality, validating enhancements, and coordinating requirements with engineering teams. Develops field and software readiness checklists, creates training programs, trains junior engineers, participates in root-cause reviews, and documents activities. Requires strong prioritization, communication, teamwork, self-management, and experience with Applied Materials equipment.
Top Skills:
Applied Materials Equipment
Artificial Intelligence • Software
Own the design and implementation of a high-scale query engine for hundreds of billions of claims. Responsibilities include storage layout, indexing, query planning, optimization, distributed retrieval across graph, vector, full-text, time-series, and geospatial backends, consistency, latency optimization, and correctness evaluation. The role requires deep distributed database or search infrastructure experience and strong proficiency in Go, Rust, or C++.
Top Skills:
C++Distributed Graph DatabasesDistributed SystemsFull-Text SearchGeospatial IndexesGoQuery OptimizationQuery PlanningRustStorage SystemsTime-Series DatabasesVector Databases
Artificial Intelligence • Productivity • Software
Build and improve Clad’s construction management software across the full stack. The role involves shaping product direction, developing new products and features, influencing business and team decisions, and contributing to a high-craft, continuously learning engineering culture. The position uses TypeScript across React, Remix, and Node.js and requires working in person in New York City.
Top Skills:
Node.jsReactRemixTypescript
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