{"schemaVersion":"jobsearcher.job.v1","id":"cd871ee97c8180b2ad03bac9","url":"https://jobsearcher.com/jobs/cd871ee97c8180b2ad03bac9","canonicalUrl":"https://jobsearcher.com/jobs/cd871ee97c8180b2ad03bac9","title":"AI Developer","description":"Overview\nThis role supports the engineering, deployment, and operation of internal AI applications built on an established Python and Angular codebase and AWS-native architecture. The position is focused on production-quality full-stack software engineering and cloud deployment of AI-enabled applications rather than AI research or experimentation.\nResponsibilities\n\nThe ideal candidate is a strong full-stack software developer with professional experience in Python back-end development and Angular front-end development, along with hands-on experience working in Git-based development environments, AWS CI/CD pipelines, Infrastructure as Code (Terraform), and multi-environment AWS deployments. This individual should be capable of independently developing, testing, reviewing, deploying, and troubleshooting complete application features across the front end, APIs, back-end services, and AWS infrastructure throughout the software development lifecycle.\n\nAI-assisted development tools may be used to improve productivity; however, the developer is expected to understand, validate, test, and take ownership of all code they produce. The successful candidate must be able to independently reason through software architecture, application logic, deployment issues, and production failures rather than relying primarily on AI-generated code.\n\nTechnical Responsibilities\n\nDevelop, maintain, debug, and enhance production-quality Python applications and AI services within an established internal codebase\nWork effectively within Git-based development workflows, including branching strategies, pull requests, merge conflict resolution, code reviews, and release management\nBuild, maintain, and troubleshoot CI/CD pipelines used to deploy applications across AWS development, staging, and production environments\nUnderstand and work within an AWS multi-account and multi-environment architecture, including IAM roles, policies, permissions, service accounts, and cross-service access\nDevelop and maintain Infrastructure as Code using Terraform, including reviewing Terraform plans and troubleshooting infrastructure deployment failures\nDeploy and troubleshoot AWS-native applications using services such as Lambda, Step Functions, API Gateway, containers, Amazon Bedrock, and OpenSearch\nDiagnose deployment and operational issues across application code, CI/CD pipelines, AWS infrastructure, IAM permissions, networking, and service integrations\nImplement and extend Retrieval-Augmented Generation (RAG) and AI orchestration workflows using frameworks such as LangChain and LangGraph\nDevelop and maintain APIs and data integration services supporting AI applications, structured metadata, and enterprise data sources\nDevelop and maintain Angular-based web application interfaces, including components, services, routing, forms, state/data handling, validation, and integration with REST APIs and Python back-end services\nImplement end-to-end full-stack features spanning Angular/TypeScript user interfaces, API contracts, Python services, data access, authentication/authorization, and AWS-hosted application components\nTroubleshoot browser and front-end issues, API integration failures, application state and data-flow problems, and cross-layer defects between the Angular client and Python/AWS services\nWrite maintainable, testable, and well-documented code consistent with established software engineering standards\nPerform peer code reviews and help establish and enforce coding, testing, source-control, and deployment standards\nParticipate in Scrum-based development, sprint planning, backlog refinement, and technical estimation\nTranslate business and non-developer feature requirements into clear technical designs and actionable development work items\nSupport onboarding and mentoring of developers working within the organization's AI development framework and AWS environment\nCollaborate with cloud, cybersecurity, infrastructure, and operations teams to support secure and compliant application deployments\nSkills Required\n\nRequired Technical Skills\n\nStrong professional Python software development experience, including object-oriented design, debugging, testing, dependency management, and working within established codebases\nStrong professional Angular and TypeScript development experience building and maintaining production web applications within established codebases\nDemonstrated full-stack development experience integrating Angular front ends with REST APIs and Python back-end services, including data models, validation, error handling, authentication/authorization, and end-to-end troubleshooting\nStrong working knowledge of modern web application fundamentals, including HTML, CSS, responsive UI development, client-side routing, asynchronous API communication, and browser-based debugging\nExperience writing and maintaining automated tests for both front-end and back-end application components\nStrong hands-on proficiency with Git and Git-based software development workflows, including branches, pull requests, merges, conflict resolution, tagging, and code reviews\nDemonstrated experience building, using, and troubleshooting CI/CD pipelines for automated application deployment\nHands-on experience deploying and troubleshooting applications in AWS\nWorking knowledge of AWS IAM, including roles, policies, permissions, and troubleshooting access-related deployment and runtime issues\nHands-on experience with Infrastructure as Code, preferably Terraform\nExperience working with multiple application environments such as development, staging, and production\nExperience developing and integrating REST APIs and CRUD-based services\nAbility to independently troubleshoot issues spanning application code, deployment pipelines, cloud infrastructure, permissions, and service integrations\nExperience writing automated tests and validating code before deployment\nExperience using AI coding assistants as productivity tools while maintaining independent ownership and understanding of the resulting code\nFamiliarity with Agile/Scrum software development practices\n\nAI-Specific Technical Skills\n\nExperience developing production applications using Large Language Models (LLMs)\nHands-on experience with LangChain and/or LangGraph\nExperience implementing or supporting Retrieval-Augmented Generation (RAG) architectures\nUnderstanding of prompt engineering and structured LLM interactions\nExperience integrating applications with hosted LLM platforms; AWS Bedrock experience is strongly preferred\nExperience optimizing AI workflows for performance, reliability, accuracy, and cost\nFamiliarity with vector search, embeddings, metadata filtering, and enterprise knowledge retrieval\n\nPreferred / Nice-to-Have\n\nAWS certification or significant equivalent hands-on AWS experience\nExperience with AWS Bedrock, OpenSearch, Lambda, Step Functions, API Gateway, and containerized workloads\nAdvanced Terraform experience, including reusable modules, state management, and environment-specific deployments\nExperience designing or maintaining CI/CD pipelines and automated deployment processes\nFamiliarity with AWS CloudWatch and application observability, logging, monitoring, and alerting\nExperience with metadata tagging, versioned knowledge sources, and access-aware retrieval, including RBAC and ABAC concepts\nExperience working in secure, regulated, or government cloud environments; AWS GovCloud experience is a plus\nExperience participating in technical design reviews, peer code reviews, or mentoring other developers\nExperience with additional front-end frameworks such as React or Blazor, component libraries/design systems, or advanced Angular architecture and performance optimization\n\nWhat We’re Looking For\n\n5-7 years experience\nWe are looking for a hands-on full-stack software engineer who specializes in building AI-enabled applications and can work across an Angular front end, Python back-end services, APIs, and the AWS infrastructure required to operate those applications in a production environment.\nThe successful candidate should be comfortable taking a full-stack feature from requirement through Angular UI implementation, Python/API development, source control, automated testing, code review, CI/CD deployment, and production troubleshooting.\nThey should be able to navigate an existing codebase and AWS architecture, understand how front-end, back-end, data, and cloud components interact, and independently diagnose problems when applications, deployments, or services fail.\nThis role is best suited for an engineer who uses AI development tools to accelerate their work—not as a substitute for understanding software engineering fundamentals.\nWe value developers who can explain their design decisions, understand the code they commit, identify and correct issues in AI-generated code, and take ownership of the reliability and maintainability of the systems they build.\n\nThe Ideal Candidate Is\n\nA strong full-stack software engineer with professional Python and Angular development experience and practical AI application experience\nProficient in Angular and TypeScript and able to independently develop production-quality user interfaces integrated with Python APIs\nAble to own features end to end across the browser, API layer, Python services, data integrations, and AWS deployment environment\nHighly proficient with Git and modern collaborative development practices\nComfortable with Terraform, CI/CD pipelines, and AWS deployments\nAble to troubleshoot across code, infrastructure, pipelines, and cloud permissions\nComfortable working within an established architecture rather than rebuilding systems from scratch\nFocused on maintainable, testable, production-quality software\nAble to balance rapid AI development with security, reliability, and operational requirements\nA collaborative team member who can contribute technically while helping other developers become more effective\n\nSalary Range: $75,000 - $85,000/Year, DOE\n\nEducation\nA bachelor’s degree in computer science (or other relevant concentration) required. An additional three years of directly relevant software development experience may substitute for the degree requirement.\n\nFull-Time\nperson\nEntry-Level\nbusiness\nOn-site\nBenefits\n\nWe offer competitive salaries commensurate with education and experience. We have an excellent benefits package that includes:\n\nHealth & Welfare\nCompany Paid\nMajor Medical Insurance for employees and family members\nDental Insurance for employees and family members\nVision Insurance for employees (employee-paid for family members)\nGroup Life Insurance\nAccidental Death and Dismemberment Insurance\nTravel Accident Insurance\nLong-Term Disability\nVoluntary\nShort-Term Disability\nSupplemental Life Insurance\nFlexible Spending Account (pre-tax deferrals for health care expenses)\nRetirement\nMoney Purchase Pension Plan - 100% Company funded defined contribution retirement plan. One-year entry waiting period and 5-year vesting. Core Funds available and a self-directed brokerage account option.\n\nEmployee Stock Ownership Plan - 100% Company funded discretionary contribution. 100% vested after one-year entry waiting period.\nTime Off\n\nTecolote’s generous paid time off benefits give employees the flexibility they need to relax, recharge and take care of the unexpected.\n\nAnnual Leave\nBereavement Leave\nHolidays\nJury Duty/Witness Leave\nMilitary Leave\nSick Leave\nTracking Number: 001-26-9","company":"Tecoloteresearc","rawCompany":"tecoloteresearc","city":"Goleta","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-28T09:40:13.803Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Developer","description":"Overview\nThis role supports the engineering, deployment, and operation of internal AI applications built on an established Python and Angular codebase and AWS-native architecture. The position is focused on production-quality full-stack software engineering and cloud deployment of AI-enabled applications rather than AI research or experimentation.\nResponsibilities\n\nThe ideal candidate is a strong full-stack software developer with professional experience in Python back-end development and Angular front-end development, along with hands-on experience working in Git-based development environments, AWS CI/CD pipelines, Infrastructure as Code (Terraform), and multi-environment AWS deployments. This individual should be capable of independently developing, testing, reviewing, deploying, and troubleshooting complete application features across the front end, APIs, back-end services, and AWS infrastructure throughout the software development lifecycle.\n\nAI-assisted development tools may be used to improve productivity; however, the developer is expected to understand, validate, test, and take ownership of all code they produce. The successful candidate must be able to independently reason through software architecture, application logic, deployment issues, and production failures rather than relying primarily on AI-generated code.\n\nTechnical Responsibilities\n\nDevelop, maintain, debug, and enhance production-quality Python applications and AI services within an established internal codebase\nWork effectively within Git-based development workflows, including branching strategies, pull requests, merge conflict resolution, code reviews, and release management\nBuild, maintain, and troubleshoot CI/CD pipelines used to deploy applications across AWS development, staging, and production environments\nUnderstand and work within an AWS multi-account and multi-environment architecture, including IAM roles, policies, permissions, service accounts, and cross-service access\nDevelop and maintain Infrastructure as Code using Terraform, including reviewing Terraform plans and troubleshooting infrastructure deployment failures\nDeploy and troubleshoot AWS-native applications using services such as Lambda, Step Functions, API Gateway, containers, Amazon Bedrock, and OpenSearch\nDiagnose deployment and operational issues across application code, CI/CD pipelines, AWS infrastructure, IAM permissions, networking, and service integrations\nImplement and extend Retrieval-Augmented Generation (RAG) and AI orchestration workflows using frameworks such as LangChain and LangGraph\nDevelop and maintain APIs and data integration services supporting AI applications, structured metadata, and enterprise data sources\nDevelop and maintain Angular-based web application interfaces, including components, services, routing, forms, state/data handling, validation, and integration with REST APIs and Python back-end services\nImplement end-to-end full-stack features spanning Angular/TypeScript user interfaces, API contracts, Python services, data access, authentication/authorization, and AWS-hosted application components\nTroubleshoot browser and front-end issues, API integration failures, application state and data-flow problems, and cross-layer defects between the Angular client and Python/AWS services\nWrite maintainable, testable, and well-documented code consistent with established software engineering standards\nPerform peer code reviews and help establish and enforce coding, testing, source-control, and deployment standards\nParticipate in Scrum-based development, sprint planning, backlog refinement, and technical estimation\nTranslate business and non-developer feature requirements into clear technical designs and actionable development work items\nSupport onboarding and mentoring of developers working within the organization's AI development framework and AWS environment\nCollaborate with cloud, cybersecurity, infrastructure, and operations teams to support secure and compliant application deployments\nSkills Required\n\nRequired Technical Skills\n\nStrong professional Python software development experience, including object-oriented design, debugging, testing, dependency management, and working within established codebases\nStrong professional Angular and TypeScript development experience building and maintaining production web applications within established codebases\nDemonstrated full-stack development experience integrating Angular front ends with REST APIs and Python back-end services, including data models, validation, error handling, authentication/authorization, and end-to-end troubleshooting\nStrong working knowledge of modern web application fundamentals, including HTML, CSS, responsive UI development, client-side routing, asynchronous API communication, and browser-based debugging\nExperience writing and maintaining automated tests for both front-end and back-end application components\nStrong hands-on proficiency with Git and Git-based software development workflows, including branches, pull requests, merges, conflict resolution, tagging, and code reviews\nDemonstrated experience building, using, and troubleshooting CI/CD pipelines for automated application deployment\nHands-on experience deploying and troubleshooting applications in AWS\nWorking knowledge of AWS IAM, including roles, policies, permissions, and troubleshooting access-related deployment and runtime issues\nHands-on experience with Infrastructure as Code, preferably Terraform\nExperience working with multiple application environments such as development, staging, and production\nExperience developing and integrating REST APIs and CRUD-based services\nAbility to independently troubleshoot issues spanning application code, deployment pipelines, cloud infrastructure, permissions, and service integrations\nExperience writing automated tests and validating code before deployment\nExperience using AI coding assistants as productivity tools while maintaining independent ownership and understanding of the resulting code\nFamiliarity with Agile/Scrum software development practices\n\nAI-Specific Technical Skills\n\nExperience developing production applications using Large Language Models (LLMs)\nHands-on experience with LangChain and/or LangGraph\nExperience implementing or supporting Retrieval-Augmented Generation (RAG) architectures\nUnderstanding of prompt engineering and structured LLM interactions\nExperience integrating applications with hosted LLM platforms; AWS Bedrock experience is strongly preferred\nExperience optimizing AI workflows for performance, reliability, accuracy, and cost\nFamiliarity with vector search, embeddings, metadata filtering, and enterprise knowledge retrieval\n\nPreferred / Nice-to-Have\n\nAWS certification or significant equivalent hands-on AWS experience\nExperience with AWS Bedrock, OpenSearch, Lambda, Step Functions, API Gateway, and containerized workloads\nAdvanced Terraform experience, including reusable modules, state management, and environment-specific deployments\nExperience designing or maintaining CI/CD pipelines and automated deployment processes\nFamiliarity with AWS CloudWatch and application observability, logging, monitoring, and alerting\nExperience with metadata tagging, versioned knowledge sources, and access-aware retrieval, including RBAC and ABAC concepts\nExperience working in secure, regulated, or government cloud environments; AWS GovCloud experience is a plus\nExperience participating in technical design reviews, peer code reviews, or mentoring other developers\nExperience with additional front-end frameworks such as React or Blazor, component libraries/design systems, or advanced Angular architecture and performance optimization\n\nWhat We’re Looking For\n\n5-7 years experience\nWe are looking for a hands-on full-stack software engineer who specializes in building AI-enabled applications and can work across an Angular front end, Python back-end services, APIs, and the AWS infrastructure required to operate those applications in a production environment.\nThe successful candidate should be comfortable taking a full-stack feature from requirement through Angular UI implementation, Python/API development, source control, automated testing, code review, CI/CD deployment, and production troubleshooting.\nThey should be able to navigate an existing codebase and AWS architecture, understand how front-end, back-end, data, and cloud components interact, and independently diagnose problems when applications, deployments, or services fail.\nThis role is best suited for an engineer who uses AI development tools to accelerate their work—not as a substitute for understanding software engineering fundamentals.\nWe value developers who can explain their design decisions, understand the code they commit, identify and correct issues in AI-generated code, and take ownership of the reliability and maintainability of the systems they build.\n\nThe Ideal Candidate Is\n\nA strong full-stack software engineer with professional Python and Angular development experience and practical AI application experience\nProficient in Angular and TypeScript and able to independently develop production-quality user interfaces integrated with Python APIs\nAble to own features end to end across the browser, API layer, Python services, data integrations, and AWS deployment environment\nHighly proficient with Git and modern collaborative development practices\nComfortable with Terraform, CI/CD pipelines, and AWS deployments\nAble to troubleshoot across code, infrastructure, pipelines, and cloud permissions\nComfortable working within an established architecture rather than rebuilding systems from scratch\nFocused on maintainable, testable, production-quality software\nAble to balance rapid AI development with security, reliability, and operational requirements\nA collaborative team member who can contribute technically while helping other developers become more effective\n\nSalary Range: $75,000 - $85,000/Year, DOE\n\nEducation\nA bachelor’s degree in computer science (or other relevant concentration) required. An additional three years of directly relevant software development experience may substitute for the degree requirement.\n\nFull-Time\nperson\nEntry-Level\nbusiness\nOn-site\nBenefits\n\nWe offer competitive salaries commensurate with education and experience. We have an excellent benefits package that includes:\n\nHealth & Welfare\nCompany Paid\nMajor Medical Insurance for employees and family members\nDental Insurance for employees and family members\nVision Insurance for employees (employee-paid for family members)\nGroup Life Insurance\nAccidental Death and Dismemberment Insurance\nTravel Accident Insurance\nLong-Term Disability\nVoluntary\nShort-Term Disability\nSupplemental Life Insurance\nFlexible Spending Account (pre-tax deferrals for health care expenses)\nRetirement\nMoney Purchase Pension Plan - 100% Company funded defined contribution retirement plan. One-year entry waiting period and 5-year vesting. Core Funds available and a self-directed brokerage account option.\n\nEmployee Stock Ownership Plan - 100% Company funded discretionary contribution. 100% vested after one-year entry waiting period.\nTime Off\n\nTecolote’s generous paid time off benefits give employees the flexibility they need to relax, recharge and take care of the unexpected.\n\nAnnual Leave\nBereavement Leave\nHolidays\nJury Duty/Witness Leave\nMilitary Leave\nSick Leave\nTracking Number: 001-26-9","datePosted":"2026-08-28T09:40:13.803Z","dateModified":"2026-08-28T09:40:13.803Z","hiringOrganization":{"@type":"Organization","name":"Tecoloteresearc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Goleta","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cd871ee97c8180b2ad03bac9"},"url":"https://jobsearcher.com/jobs/cd871ee97c8180b2ad03bac9"}}