AI-Directed Software Engineer

EnvisionWare, Inc.

. Design and deliver software across the full Envisionware stack, including backend, frontend, native clients, and AWS infrastructure .

Posted 10/9/2026full-timeRemote • United States, CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software development, including backend services, UI frameworks like Angular or React, and AWS infrastructure management. Proficient in utilizing AI coding tools to enhance development efficiency and ensure the correctness of AI-generated outputs.

Highest-signal resume keywords

AWS ExperienceFull-Stack DevelopmentAI Coding Tools ProficiencyInfrastructure as CodeContainerization and Kubernetes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

APIsDistributed SystemsDebuggingData FlowsJavaPostgreSQLCloudFormationTerraformAngularReact

Soft Skills

Strong Written CommunicationSystems ThinkingComfort in Ambiguous Environments

Tools & Technologies

AWSDockerKubernetesCloudWatchHelm

Industry Keywords

Public-SectorMulti-Tenant SaaS

Tech Stack

Tools & technologies

AngularAWSDistributed SystemsDockerJavaKubernetesPostgresReactSQLTerraform

About the role

Key responsibilities & impact

Design and deliver software across the full Envisionware stack, including backend, frontend, native clients, and AWS infrastructure
Move ideas from concept to demo to production at high speed
Decompose problems and product requirements into spec-driven, AI-executable tasks
Direct AI tools to generate code for APIs, UI, SQL, infrastructure configuration, and workflows
Validate, test, harden, and take ownership of AI-generated output
Own features end-to-end from database schema through Java services, Angular or React UI, and Kubernetes deployment on AWS
Configure and deploy Docker/Kubernetes workloads on AWS
Design and ship Amazon Bedrock-based AI agents, including action groups, tool integrations, Knowledge Base RAG retrieval, and Guardrails
Operate workloads on AWS with IAM least privilege, cost awareness, and CloudWatch observability
Improve AI-driven development patterns, prompts, and tooling
Deliver features from concept to demo-ready in five days or less where applicable
Establish documented workflows for AI-directed development and improve delivery speed and consistency

Requirements

What you’ll need

Strong software engineering fundamentals (APIs, distributed systems, debugging, data flows)
Hands-on AWS experience (3+ years) building and running production workloads
Ability to reason about IAM, VPC networking, and the cost and failure modes of AWS services
Infrastructure as code on AWS; CloudFormation preferred, or CDK or Terraform acceptable
Full-stack breadth across backend services, UI, and deployment configuration
Working familiarity with containers and Kubernetes, or willingness to ramp fast; ability to debug a failing pod, read a manifest, and ship a Helm change
Demonstrated experience using AI coding tools such as Claude Code, Cursor, Copilot, or similar to ship real work
Strong ability to review AI output for correctness, security, and deployment issues
Comfort in fast, ambiguous, rapidly changing environments
Bias toward shipping working software over perfect design
Systems thinking and understanding of how components interact at scale
Willingness to challenge human- and AI-generated assumptions
Strong written communication
AWS experience is required
Experience with Java/Jersey, Angular or React, PostgreSQL, or library, public-sector, or multi-tenant SaaS domains is nice to have