Full-Stack AI Engineer: Python/Angular on AWS

Tecolote Research, Inc.; Goleta (CA); On-site; USD 75,000 - 85,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Retirement Plan

Employee Stock Ownership Plan

Job summary

Tecolote Research, Inc. seeks a hands-on full-stack software engineer to develop production-quality AI-enabled applications built on Python, Angular, and AWS-native architecture.

The role emphasizes end-to-end ownership across front-end, APIs, back-end services, and cloud infrastructure in a fast-paced, code-first environment. You will contribute to CI/CD pipelines, IaC with Terraform, multi-account AWS deployments, and AI tooling while adhering to engineering standards and security practices.

Qualifications

• Experience in Python and Angular within production-grade codebases.
• Hands-on AWS deployment, IAM, Terraform, and CI/CD in multi-account environments.
• Ability to own features end-to-end and troubleshoot across front-end, APIs, and cloud infra.

Responsibilities

• Develop, maintain, debug, and enhance production-quality Python applications and AI services.
• Build and troubleshoot CI/CD pipelines across AWS development, staging, and production.
• Develop and maintain Angular-based web interfaces and REST APIs with Python back-end services.

Skills

Python back-end

Angular front-end

Git workflows

CI/CD pipelines

AWS deployments

Terraform IaC

REST APIs

Full-stack dev

Automated tests

Agile/Scrum

Education

Bachelor’s degree in Computer Science

Tools

Terraform

OpenSearch

API Gateway

Bedrock

LangChain

LangGraph

AWS Lambda

Job description

Tecolote Research, Inc. seeks a hands-on full-stack software engineer to develop production-quality AI-enabled applications built on Python, Angular, and AWS-native architecture.

The role emphasizes end-to-end ownership across front-end, APIs, back-end services, and cloud infrastructure in a fast-paced, code-first environment. You will contribute to CI/CD pipelines, IaC with Terraform, multi-account AWS deployments, and AI tooling while adhering to engineering standards and security practices.