Responsibilities involve interacting directly with AI systems, reviewing model outputs, and following clear task guidelines to contribute to the creation of high-quality training data. This includes activities like evaluating responses, identifying inconsistencies, and providing feedback to help models learn more effectively.
Remote Software Development Jobs in United States (23,816)
Remote in = United States
Job category = Software Development
The engineer will architect and build scalable backend systems and APIs to support the AI-powered mortgage underwriting platform while designing and implementing integrations with third-party mortgage systems. They will also build and optimize LLM-powered features using agentic AI and RAG to enhance underwriting accuracy and automation.
The engineer will serve as a primary technical resource across a portfolio of ten companies, owning end-to-end problems related to identity, SaaS platforms, endpoints, and security, adapting solutions based on company size and maturity. Key duties include managing the full laptop lifecycle, owning Identity and Access Management (IAM) including onboarding/offboarding, administering core SaaS platforms, and proactively fixing operational issues through documentation or automation.
Senior Data Scientist, AI
Ensemble Health Partners
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Full Time
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11 Weeks Ago
Ensemble Health Partners
The Senior Data Scientist will build AI and Machine Learning models and pipelines, focusing on generative AI, LLMs, and predictive modeling to enhance hospital efficiency and patient outcomes. This role involves executing analytical experiments, delivering insights through reports, and coordinating closely with software engineers, product owners, and analysts to deliver solutions.
Develop, maintain, and improve machine learning models for document verification tasks including classification, image quality assessment, field extraction, and fraud detection. Independently implement and evaluate deep learning architectures and own components of end-to-end ML pipelines from data preparation to production deployment.
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The role involves the design, implementation, and maintenance of scalable and reliable infrastructure solutions primarily on Microsoft Azure, alongside automating deployments and maintaining a resilient SaaS application platform to meet service levels. Responsibilities also include continuous evaluation of system reliability and performance, developing monitoring solutions, and participating in incident response and on-call rotations for distributed production applications.
Hybrid Cloud Sales Specialist
Hewlett Packard Enterprise
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Full Time
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11 Weeks Ago
Hewlett Packard Enterprise
The specialist is responsible for leading pursuits in assigned focus areas, collaborating with Account Managers, and driving proactive campaigns to build and close sales opportunities using specialized knowledge. This includes selling technology, services, and technology management services to end-user customers with a focus on new business or up-selling within accounts.
The role involves managing customer contracts by conducting preventative maintenance, delivering reports, and providing on-site remedial support to ensure customer systems are updated with the latest software and hardware. Responsibilities also include preparing system upgrade plans, performing technical reviews of orders, analyzing expansion project risks, and managing overall technical responsibilities for projects including specification, testing, and commissioning.
Senior Power Platform Developer
MATRIX SYSTEMS & TECHNOLOGIES INC
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Full Time
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11 Weeks Ago
MATRIX SYSTEMS & TECHNOLOGIES INC
The role involves designing, building, and maintaining Power Platform solutions, including Canvas/Model-driven Power Apps, Power Pages, Power Automate flows, and Power BI reports, while integrating these solutions with Microsoft 365, Dynamics 365, and Azure services. Responsibilities also include implementing governance, security, and compliance measures according to organizational standards.
The primary responsibility involves identifying the appropriate assignment of ICD-10 CM, ICD-10-PCS, DRG, and abstraction for facility services while strictly adhering to official and client coding guidelines. This includes abstracting additional data elements during chart review and querying physicians when necessary to maintain coding quality and productivity standards.
Field General, Distributed Water Infrastructure Stealth Co
Montauk Capital
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Full Time
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11 Weeks Ago
Montauk Capital
The Field General will execute and expand the Go To Market Strategy by identifying target customers, leading discovery conversations, and co-designing early deployments based on customer needs. This role involves translating field insights into product, pricing, and go-to-market strategy to build a scalable commercial motion.
The engineer will implement custody, compliance, operations, and post-trade settlement systems within the NodeJS-based backend architecture, collaborating with technical leadership and other developers. Responsibilities also include integrating with blockchain systems and APIs by working with internal and external parties.
R&D Data Scientist: Mathematical Modeling and Optimization
Liftlab Analytics, Inc.
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Full Time
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11 Weeks Ago
Liftlab Analytics, Inc.
The role involves developing new algorithm-based features for the marketing measurement and optimization platform, including performing diagnostics and root-cause analysis. The Data Scientist will collaborate with Data Science and Engineering teams to implement these new features into the product and workflow.
The Project Manager will lead complex, end-to-end SaaS implementation projects from kickoff through go-live, ensuring synchronization of internal efforts to meet client requirements and regulatory standards. They will also drive operational excellence by optimizing processes, supporting PMO playbook development, and managing key client relationships during implementation.
Software Engineer ($140K – $210K + Equity) at Ambrook
Jack & Jill/External ATS
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Full Time
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11 Weeks Ago
Jack & Jill/External ATS
The role involves owning the end-to-end delivery of elegant, performant product experiences and server infrastructure using Next.js, React, and React Native. Responsibilities also include joining customer discovery calls to understand real-world financial challenges and influencing technical architecture by experimenting with AI tooling and improving CI/CD processes.
This role involves leading technical initiatives across DataHub Cloud and enterprise deployments, focusing on designing and implementing robust, scalable infrastructure solutions and driving best practices for automation and observability. Key duties include establishing SLAs/SLOs, leading incident response, implementing chaos engineering, and mentoring the SRE team.
The Project Manager is responsible for developing and managing the full development/implementation lifecycle, including scope, timeline, resources, and client expectations for Salesforce projects. This involves leading day-to-day execution, monitoring progress and financials, serving as the primary client contact, and collaborating on solution strategy.
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The engineer will collaborate with stakeholders to design, build, and support robust platform solutions, integrating front-end components with backend systems via APIs. Key tasks include designing CI/CD pipelines, building infrastructure with IaC tools like Terraform, and architecting/managing Kubernetes clusters on AWS/Azure.
This senior role involves leading the development and delivery of tailored ServiceNow assessment and service solutions, including architecture design and deployment roadmaps, while partnering with sales and delivery teams to define go-to-market strategies and ensure successful deal closure. The individual will also serve as a recognized subject matter expert, mentor others, and actively participate in industry events to establish thought leadership for CDW's Digital Velocity offerings.
Software Engineer, Cloud | Blizzard
Activision Blizzard
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Full Time
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11 Weeks Ago
Activision Blizzard
The role involves designing, implementing, and maintaining solutions that integrate various infrastructure providers to manage Blizzard's and its partners' games and services. Responsibilities include developing high-performance software in Go, conducting code reviews, creating documentation, and proactively resolving operational issues.
This role involves instructing, directing, and checking the work of other analysts and programmers while formulating complex system scope and objectives for assigned projects. Responsibilities include providing complex architecture and technical designs, managing the entire application life cycle, and ensuring adherence to project schedules.
The AI Developer will design and implement AI models and algorithms tailored to diverse business challenges while defining and leading the architecture of Generative AI platforms, including LLMs, vector databases, and inference pipelines. Essential functions also involve rapidly prototyping solutions, leveraging AI-assisted development tools, and collaborating with various teams to integrate AI capabilities into production-ready systems.
The Senior GenAI Solutions Architect will design and lead the implementation of Generative AI applications and solutions on AWS, utilizing tools like agent frameworks and Amazon Bedrock. This role involves facilitating design sessions with clients, building technical roadmaps, and communicating complex solutions in business language to achieve customer goals.
Outpatient/Provider Coder III
University of Utah Health
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Full Time
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11 Weeks Ago
University of Utah Health
This role involves abstracting, coding, and interpreting outpatient clinic and provider services for billing, requiring the review and coding of complex or sub-specialty services and resolving documentation inconsistencies. The coder will also serve as a resource for staff, research suspended claims, and apply regulatory guidelines to coding and reimbursement decisions.
The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines primarily using Apache Spark and building optimized data workflows within Databricks environments. This includes ingesting, transforming, and curating large-scale datasets while ensuring performance tuning and data quality.
The Technical Architect will act as a trusted technical advisor for assigned accounts, deeply partnering with customers to understand their environment and apply expertise to ensure successful outcomes using the Boomi platform. Responsibilities include providing architecture-level recommendations, translating business requirements into implementation patterns, and serving as a product expert for Boomi Platform Services.
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Information System Security Engineer (ISSE) AWS Cloud Security - Clearance Required
Logistics Management Institute
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Full Time
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11 Weeks Ago
Logistics Management Institute
The role involves architecting and managing robust access control strategies using AWS IAM, implementing encryption via AWS KMS, and deploying native AWS security services for continuous threat detection and compliance monitoring. Responsibilities also include leading the technical validation of NIST and DoD controls to achieve ATO and serving as a technical SME for RMF documentation.
The role involves the design, development, and maintenance of the Anaplan platform, requiring deep expertise in Anaplan modeling, data orchestration, and administration across various levels. Responsibilities include building models to meet business needs, utilizing Data Orchestrator for data flows, and managing the entire Anaplan environment.
This role involves partnering with stakeholders to define requirements and translate business problems into measurable ML problem statements, while designing, implementing, and maintaining scalable, enterprise-grade ML solutions in production environments. Responsibilities also include building reproducible ML workflows, implementing monitoring frameworks for continuous improvement, and owning operational excellence like SLAs and incident response.
This role involves designing and implementing AI-driven systems to enhance enterprise data quality through enrichment, inference, entity resolution, and automated classification. Key duties include designing modern data platforms supporting AI systems, establishing data lineage and observability, and translating data intelligence concepts into scalable product capabilities.
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