{"schemaVersion":"jobsearcher.job.v1","id":"b1a591943feb5aa2d5f33fa0","url":"https://jobsearcher.com/jobs/b1a591943feb5aa2d5f33fa0","canonicalUrl":"https://jobsearcher.com/jobs/b1a591943feb5aa2d5f33fa0","title":"AI Software Engineer, Senior","description":"Overview\r\n*JOB TITLE: *\r\nAI Software Developer, Senior\r\n*CAYUSE COMPANY: *\r\nCayuse Civil Services, LLC\r\n*LOCATION *\r\nAustin, TX\r\n*SALARY: *\r\n$116,480.00-$166,400.00\r\n*EMPLOYEE TYPE: *\r\nFull-Time Salary Exempt\r\n*TRAVEL *\r\nNo\r\n*RELOCATION *\r\nNo\r\nEmployment in this role is conditional upon successful execution of the contract by the client.\r\nThe Work\r\nThe Senior AI Software Engineer will be responsible for advancing enterprise AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support complex engineering workflows. This role focuses on transforming early-stage AI models and prototypes—such as those supporting plan review automation, asset detection, digital delivery, and other domain-specific use cases—into fully integrated applications accessible through secure, user-friendly web interfaces across the organization.\r\nThe Senior AI Software Engineer will concentrate on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. The position requires close collaboration with cross-functional teams (engineering, product, infrastructure, and security) to ensure solutions are robust, compliant, and aligned with enterprise standards and regulatory requirements.\r\nThis position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.\r\nResponsibilities\r\nDesign, develop, and maintain production-grade AI/ML services and web applications that extend existing POC solutions into scalable, secure, and reliable enterprise platforms.\r\nImplement and optimize AI/ML workflows for:\r\nModel ingestion and lifecycle management\r\nAutomated quantity extraction from plans and documents\r\nPlan conformance and rules-based checks\r\nComputer vision-based asset detection and inspection\r\nNLP/LLM-based plan review automation and document analysis\r\nBuild secure, user-friendly web interfaces and APIs that enable engineering and business users to leverage AI capabilities within their day-to-day workflows.\r\nArchitect, implement, and manage CI/CD pipelines to support rapid, reliable deployment of AI/ML models and related services.\r\nDeploy and manage AI/ML workloads across one or more major cloud platforms (AWS, Azure, GCP, OCI), leveraging native AI/ML services as appropriate.\r\nImplement MLOps best practices, including experiment tracking, model registry, feature stores, monitoring, and automated retraining where appropriate.\r\nOptimize model performance and cost through techniques such as quantization, pruning, distillation, and efficient distributed training.\r\nIntegrate and operationalize LLM and NLP solutions (e.g., transformers, RAG systems) to support text understanding, summarization, Q&A, and other intelligent automation use cases.\r\nCollaborate with data engineers, cloud engineers, and domain experts to design robust data pipelines and architectures for AI/ML workloads, including time-series, image/video, and text data.\r\nEnsure that all solutions adhere to security, compliance, and governance standards, especially when working with sensitive or regulated data.\r\nProvide technical leadership, mentorship, and guidance to junior engineers and peers, promoting best practices in AI/ML engineering, DevOps, and software craftsmanship.\r\nProduce high-quality technical documentation, including architecture diagrams, API specifications, deployment runbooks, and user guides.\r\nParticipate in technical planning, backlog grooming, and estimation; contribute to roadmap development for AI/ML capabilities.\r\nOther duties as assigned\r\nQualifications\r\nHere's What You Need\r\nThe qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client.\r\n8+ years of professional software engineering experience, with substantial work in AI/ML and cloud-native development\r\nExperience with at least one major cloud platform (AWS, Azure, GCP, or OCI) for deploying and managing ML workloads\r\nHands-on experience with cloud AI/ML services such as Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, or OCI AI Services\r\nStrong DevOps background, including:\r\nAnsible for configuration management and automation\r\nDocker for containerization\r\nKubernetes for container orchestration\r\nCI/CD best practices for automated build, test, and deployment\r\nProficiency with relational and non-relational databases, including:\r\nSQL (PostgreSQL, MySQL)\r\nNoSQL and vector databases for similarity search and embedding-based retrieval\r\nStrong scripting skills in both\r\nBash\r\nPowerShell\r\nProven experience designing and maintaining CI/CD pipelines using:\r\nAzure DevOps\r\nGitHub Actions\r\nJenkins\r\nOr similar automation tools\r\n3–5+ years of production-level Python development (primary implementation language)\r\n3+ years of experience with NLP and LLMs, including:\r\nTransformer models (BERT, GPT, T5, etc.)\r\nRAG (Retrieval-Augmented Generation) systems\r\nFine-tuning and prompt engineering\r\nBuilding LLM-based applications\r\n3+ years of experience with time-series data, including:\r\nForecasting models\r\nAnomaly detection\r\nSequential data modeling\r\nReal-time monitoring systems\r\n3+ years of experience building recommender systems, such as:\r\nCollaborative filtering\r\nRanking models\r\nPersonalization engines\r\nContent recommendation pipelines\r\nProduction experience with MLOps tools and platforms, such as:\r\nMLflow\r\nWeights & Biases\r\nKubeflow\r\nAirflow\r\nOr similar systems for orchestration, tracking, and model lifecycle management\r\nExperience with distributed training, including:\r\nLarge-scale model training\r\nMulti-GPU and/or multi-node setups\r\nData/model parallelism and performance optimization\r\nProduction computer vision experience using\r\nPyTorch and/or TensorFlow\r\nOpenCV\r\nYOLO or similar frameworks for object detection and segmentation\r\nReal-time inference and deployment workflows\r\nExperience with feature stores (e.g., Feast, Tecton) and/or advanced feature engineering techniques\r\nHands-on experience with model optimization techniques:\r\nQuantization\r\nPruning\r\nKnowledge distillation\r\nExperience working with LLM ecosystems such as\r\nOllama\r\nHugging Face\r\nOther non-frontier / open-weight models\r\nDemonstrated AI/ML production track record:\r\nBuilt and deployed at least 2–3+ ML models serving real users (beyond experimental or research-only projects)\r\nMust be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.\r\nMinimum Skills\r\nExceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.\r\nExceptional verbal and written communication skills.\r\nExcellent organizational, analytical, and problem-solving skills with high-level attention to detail.\r\nProven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.\r\nMust be self-motivated and able to work well independently as well as on a multi-functional team.\r\nAbility to handle sensitive and confidential information appropriately\r\nProficient in MS Office, Word, Outlook, PowerPoint, and Excel.\r\nDesired Qualifications\r\n1+ year of experience with Geospatial Information Systems (GIS) and analyzing or modeling spatial data\r\nPrior experience in one or more of the following domains\r\nTransportation\r\nLogistics\r\nSmart city or urban infrastructure\r\nBackground applying computer vision to infrastructure or vehicular data, including:\r\nObject detection\r\nImage segmentation\r\nVideo or sensor data analysis\r\nFamiliarity with public sector data compliance, security, and governance, such as:\r\nData classification and handling\r\nAccess control and audit requirements\r\nRegulatory and policy constraints for government data\r\nExperience with Unreal Engine in the context of\r\nReal-world digital twinning\r\nSimulation or immersive visualization of physical environments\r\nExperience integrating or building solutions with\r\nGoogle Maps APIs\r\nCesium or similar 3D mapping/geospatial visualization platforms\r\nExperience with Polygonflow Dash and its capabilities for\r\n3D workflows\r\nVisualization pipelines\r\nAutomation of complex modeling or simulation tasks\r\nOur Commitment to you / overview of benefits\r\nMedical, Dental and Vision Insurance; Wellness Program\r\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\r\nShort-Term and Long-Term Disability options\r\nBasic Life and AD&D Insurance (Company Provided)\r\nVoluntary Life and AD&D options\r\n401(k) Retirement Savings Plan with matching after one year\r\nPaid Time Off\r\nReports to: Program Manager\r\nWorking Conditions\r\nProfessional office environment with the ability to work on-site at client facility.\r\nMust be physically and mentally able to perform duties extended periods of time.\r\nAbility to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.\r\nMust be able to establish a productive and professional workspace.\r\nMust be able to sit for long periods of time looking at computer screen.\r\nMay be asked to work a flexible schedule which may include holidays.\r\nMay be asked to travel for business or professional development purposes.\r\nMay be asked to work hours outside of normal business hours.\r\nOther Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\r\n*Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.\r\nPay Range\r\nUSD $116,480.00 - USD $166,400.00 /Yr.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-12T00:45:44.391Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Software Engineer, Senior","description":"Overview\r\n*JOB TITLE: *\r\nAI Software Developer, Senior\r\n*CAYUSE COMPANY: *\r\nCayuse Civil Services, LLC\r\n*LOCATION *\r\nAustin, TX\r\n*SALARY: *\r\n$116,480.00-$166,400.00\r\n*EMPLOYEE TYPE: *\r\nFull-Time Salary Exempt\r\n*TRAVEL *\r\nNo\r\n*RELOCATION *\r\nNo\r\nEmployment in this role is conditional upon successful execution of the contract by the client.\r\nThe Work\r\nThe Senior AI Software Engineer will be responsible for advancing enterprise AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support complex engineering workflows. This role focuses on transforming early-stage AI models and prototypes—such as those supporting plan review automation, asset detection, digital delivery, and other domain-specific use cases—into fully integrated applications accessible through secure, user-friendly web interfaces across the organization.\r\nThe Senior AI Software Engineer will concentrate on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. The position requires close collaboration with cross-functional teams (engineering, product, infrastructure, and security) to ensure solutions are robust, compliant, and aligned with enterprise standards and regulatory requirements.\r\nThis position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.\r\nResponsibilities\r\nDesign, develop, and maintain production-grade AI/ML services and web applications that extend existing POC solutions into scalable, secure, and reliable enterprise platforms.\r\nImplement and optimize AI/ML workflows for:\r\nModel ingestion and lifecycle management\r\nAutomated quantity extraction from plans and documents\r\nPlan conformance and rules-based checks\r\nComputer vision-based asset detection and inspection\r\nNLP/LLM-based plan review automation and document analysis\r\nBuild secure, user-friendly web interfaces and APIs that enable engineering and business users to leverage AI capabilities within their day-to-day workflows.\r\nArchitect, implement, and manage CI/CD pipelines to support rapid, reliable deployment of AI/ML models and related services.\r\nDeploy and manage AI/ML workloads across one or more major cloud platforms (AWS, Azure, GCP, OCI), leveraging native AI/ML services as appropriate.\r\nImplement MLOps best practices, including experiment tracking, model registry, feature stores, monitoring, and automated retraining where appropriate.\r\nOptimize model performance and cost through techniques such as quantization, pruning, distillation, and efficient distributed training.\r\nIntegrate and operationalize LLM and NLP solutions (e.g., transformers, RAG systems) to support text understanding, summarization, Q&A, and other intelligent automation use cases.\r\nCollaborate with data engineers, cloud engineers, and domain experts to design robust data pipelines and architectures for AI/ML workloads, including time-series, image/video, and text data.\r\nEnsure that all solutions adhere to security, compliance, and governance standards, especially when working with sensitive or regulated data.\r\nProvide technical leadership, mentorship, and guidance to junior engineers and peers, promoting best practices in AI/ML engineering, DevOps, and software craftsmanship.\r\nProduce high-quality technical documentation, including architecture diagrams, API specifications, deployment runbooks, and user guides.\r\nParticipate in technical planning, backlog grooming, and estimation; contribute to roadmap development for AI/ML capabilities.\r\nOther duties as assigned\r\nQualifications\r\nHere's What You Need\r\nThe qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client.\r\n8+ years of professional software engineering experience, with substantial work in AI/ML and cloud-native development\r\nExperience with at least one major cloud platform (AWS, Azure, GCP, or OCI) for deploying and managing ML workloads\r\nHands-on experience with cloud AI/ML services such as Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, or OCI AI Services\r\nStrong DevOps background, including:\r\nAnsible for configuration management and automation\r\nDocker for containerization\r\nKubernetes for container orchestration\r\nCI/CD best practices for automated build, test, and deployment\r\nProficiency with relational and non-relational databases, including:\r\nSQL (PostgreSQL, MySQL)\r\nNoSQL and vector databases for similarity search and embedding-based retrieval\r\nStrong scripting skills in both\r\nBash\r\nPowerShell\r\nProven experience designing and maintaining CI/CD pipelines using:\r\nAzure DevOps\r\nGitHub Actions\r\nJenkins\r\nOr similar automation tools\r\n3–5+ years of production-level Python development (primary implementation language)\r\n3+ years of experience with NLP and LLMs, including:\r\nTransformer models (BERT, GPT, T5, etc.)\r\nRAG (Retrieval-Augmented Generation) systems\r\nFine-tuning and prompt engineering\r\nBuilding LLM-based applications\r\n3+ years of experience with time-series data, including:\r\nForecasting models\r\nAnomaly detection\r\nSequential data modeling\r\nReal-time monitoring systems\r\n3+ years of experience building recommender systems, such as:\r\nCollaborative filtering\r\nRanking models\r\nPersonalization engines\r\nContent recommendation pipelines\r\nProduction experience with MLOps tools and platforms, such as:\r\nMLflow\r\nWeights & Biases\r\nKubeflow\r\nAirflow\r\nOr similar systems for orchestration, tracking, and model lifecycle management\r\nExperience with distributed training, including:\r\nLarge-scale model training\r\nMulti-GPU and/or multi-node setups\r\nData/model parallelism and performance optimization\r\nProduction computer vision experience using\r\nPyTorch and/or TensorFlow\r\nOpenCV\r\nYOLO or similar frameworks for object detection and segmentation\r\nReal-time inference and deployment workflows\r\nExperience with feature stores (e.g., Feast, Tecton) and/or advanced feature engineering techniques\r\nHands-on experience with model optimization techniques:\r\nQuantization\r\nPruning\r\nKnowledge distillation\r\nExperience working with LLM ecosystems such as\r\nOllama\r\nHugging Face\r\nOther non-frontier / open-weight models\r\nDemonstrated AI/ML production track record:\r\nBuilt and deployed at least 2–3+ ML models serving real users (beyond experimental or research-only projects)\r\nMust be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.\r\nMinimum Skills\r\nExceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.\r\nExceptional verbal and written communication skills.\r\nExcellent organizational, analytical, and problem-solving skills with high-level attention to detail.\r\nProven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.\r\nMust be self-motivated and able to work well independently as well as on a multi-functional team.\r\nAbility to handle sensitive and confidential information appropriately\r\nProficient in MS Office, Word, Outlook, PowerPoint, and Excel.\r\nDesired Qualifications\r\n1+ year of experience with Geospatial Information Systems (GIS) and analyzing or modeling spatial data\r\nPrior experience in one or more of the following domains\r\nTransportation\r\nLogistics\r\nSmart city or urban infrastructure\r\nBackground applying computer vision to infrastructure or vehicular data, including:\r\nObject detection\r\nImage segmentation\r\nVideo or sensor data analysis\r\nFamiliarity with public sector data compliance, security, and governance, such as:\r\nData classification and handling\r\nAccess control and audit requirements\r\nRegulatory and policy constraints for government data\r\nExperience with Unreal Engine in the context of\r\nReal-world digital twinning\r\nSimulation or immersive visualization of physical environments\r\nExperience integrating or building solutions with\r\nGoogle Maps APIs\r\nCesium or similar 3D mapping/geospatial visualization platforms\r\nExperience with Polygonflow Dash and its capabilities for\r\n3D workflows\r\nVisualization pipelines\r\nAutomation of complex modeling or simulation tasks\r\nOur Commitment to you / overview of benefits\r\nMedical, Dental and Vision Insurance; Wellness Program\r\nFlexible Spending Accounts (Healthcare, Dependent Care, Commuter)\r\nShort-Term and Long-Term Disability options\r\nBasic Life and AD&D Insurance (Company Provided)\r\nVoluntary Life and AD&D options\r\n401(k) Retirement Savings Plan with matching after one year\r\nPaid Time Off\r\nReports to: Program Manager\r\nWorking Conditions\r\nProfessional office environment with the ability to work on-site at client facility.\r\nMust be physically and mentally able to perform duties extended periods of time.\r\nAbility to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.\r\nMust be able to establish a productive and professional workspace.\r\nMust be able to sit for long periods of time looking at computer screen.\r\nMay be asked to work a flexible schedule which may include holidays.\r\nMay be asked to travel for business or professional development purposes.\r\nMay be asked to work hours outside of normal business hours.\r\nOther Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\r\n*Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.\r\nPay Range\r\nUSD $116,480.00 - USD $166,400.00 /Yr.\r\nJ-18808-Ljbffr","datePosted":"2026-08-12T00:45:44.391Z","dateModified":"2026-08-12T00:45:44.391Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b1a591943feb5aa2d5f33fa0"},"url":"https://jobsearcher.com/jobs/b1a591943feb5aa2d5f33fa0"}}