AI Developer

Overview This 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. Responsibilities The 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. AI-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. Technical Responsibilities Develop, maintain, debug, and enhance production-quality Python applications and AI services within an established internal codebaseWork effectively within Git-based development workflows, including branching strategies, pull requests, merge conflict resolution, code reviews, and release managementBuild, maintain, and troubleshoot CI/CD pipelines used to deploy applications across AWS development, staging, and production environmentsUnderstand and work within an AWS multi-account and multi-environment architecture, including IAM roles, policies, permissions, service accounts, and cross-service accessDevelop and maintain Infrastructure as Code using Terraform, including reviewing Terraform plans and troubleshooting infrastructure deployment failuresDeploy and troubleshoot AWS-native applications using services such as Lambda, Step Functions, API Gateway, containers, Amazon Bedrock, and OpenSearchDiagnose deployment and operational issues across application code, CI/CD pipelines, AWS infrastructure, IAM permissions, networking, and service integrationsImplement and extend Retrieval-Augmented Generation (RAG) and AI orchestration workflows using frameworks such as LangChain and LangGraphDevelop and maintain APIs and data integration services supporting AI applications, structured metadata, and enterprise data sourcesDevelop 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 servicesImplement end-to-end full-stack features spanning Angular/TypeScript user interfaces, API contracts, Python services, data access, authentication/authorization, and AWS-hosted application componentsTroubleshoot 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 servicesWrite maintainable, testable, and well-documented code consistent with established software engineering standardsPerform peer code reviews and help establish and enforce coding, testing, source-control, and deployment standardsParticipate in Scrum-based development, sprint planning, backlog refinement, and technical estimationTranslate business and non-developer feature requirements into clear technical designs and actionable development work itemsSupport onboarding and mentoring of developers working within the organization's AI development framework and AWS environmentCollaborate with cloud, cybersecurity, infrastructure, and operations teams to support secure and compliant application deploymentsSkills Required Required Technical Skills Strong professional Python software development experience, including object-oriented design, debugging, testing, dependency management, and working within established codebasesStrong professional Angular and TypeScript development experience building and maintaining production web applications within established codebasesDemonstrated 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 troubleshootingStrong working knowledge of modern web application fundamentals, including HTML, CSS, responsive UI development, client-side routing, asynchronous API communication, and browser-based debuggingExperience writing and maintaining automated tests for both front-end and back-end application componentsStrong hands-on proficiency with Git and Git-based software development workflows, including branches, pull requests, merges, conflict resolution, tagging, and code reviewsDemonstrated experience building, using, and troubleshooting CI/CD pipelines for automated application deploymentHands-on experience deploying and troubleshooting applications in AWSWorking knowledge of AWS IAM, including roles, policies, permissions, and troubleshooting access-related deployment and runtime issuesHands-on experience with Infrastructure as Code, preferably TerraformExperience working with multiple application environments such as development, staging, and productionExperience developing and integrating REST APIs and CRUD-based servicesAbility to independently troubleshoot issues spanning application code, deployment pipelines, cloud infrastructure, permissions, and service integrationsExperience writing automated tests and validating code before deploymentExperience using AI coding assistants as productivity tools while maintaining independent ownership and understanding of the resulting codeFamiliarity with Agile/Scrum software development practices AI-Specific Technical Skills Experience developing production applications using Large Language Models (LLMs)Hands-on experience with LangChain and/or LangGraphExperience implementing or supporting Retrieval-Augmented Generation (RAG) architecturesUnderstanding of prompt engineering and structured LLM interactionsExperience integrating applications with hosted LLM platforms; AWS Bedrock experience is strongly preferredExperience optimizing AI workflows for performance, reliability, accuracy, and costFamiliarity with vector search, embeddings, metadata filtering, and enterprise knowledge retrieval Preferred / Nice-to-Have AWS certification or significant equivalent hands-on AWS experienceExperience with AWS Bedrock, OpenSearch, Lambda, Step Functions, API Gateway, and containerized workloadsAdvanced Terraform experience, including reusable modules, state management, and environment-specific deploymentsExperience designing or maintaining CI/CD pipelines and automated deployment processesFamiliarity with AWS CloudWatch and application observability, logging, monitoring, and alertingExperience with metadata tagging, versioned knowledge sources, and access-aware retrieval, including RBAC and ABAC conceptsExperience working in secure, regulated, or government cloud environments; AWS GovCloud experience is a plusExperience participating in technical design reviews, peer code reviews, or mentoring other developersExperience with additional front-end frameworks such as React or Blazor, component libraries/design systems, or advanced Angular architecture and performance optimization What We’re Looking For 5-7 years experienceWe 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.The 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.They 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.This 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.We 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. The Ideal Candidate Is A strong full-stack software engineer with professional Python and Angular development experience and practical AI application experienceProficient in Angular and TypeScript and able to independently develop production-quality user interfaces integrated with Python APIsAble to own features end to end across the browser, API layer, Python services, data integrations, and AWS deployment environmentHighly proficient with Git and modern collaborative development practicesComfortable with Terraform, CI/CD pipelines, and AWS deploymentsAble to troubleshoot across code, infrastructure, pipelines, and cloud permissionsComfortable working within an established architecture rather than rebuilding systems from scratchFocused on maintainable, testable, production-quality softwareAble to balance rapid AI development with security, reliability, and operational requirementsA collaborative team member who can contribute technically while helping other developers become more effective Education A bachelor’s degree in computer science