Software Engineer I – Enterprise AI Products

Jobtailor; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor seeks a software engineer to design and deliver AI-powered solutions using Python, AWS/Azure, and Kubernetes. You’ll own production work with limited guidance, contribute to architecture decisions, and advance CI/CD practices while collaborating with agile teams.

Expect exposure to ML concepts, agentic workflows, and modern security practices. You’ll engage with stakeholders, maintain production assets, and contribute to shared tools and libraries in a dynamic, growth-focused

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related STEM field, or equivalent practical experience.
• Minimum one year of hands-on software development experience with production delivery and maintenance of software systems.
• 2 additional years of software engineering experience.
• Authorized to work for any employer in the U.S.; no sponsorship required.
• Proficiency in Python.
• Experience with AWS and/or Azure cloud services.
• Experience with containerization and orchestration tools, including Kubernetes.
• Proficiency with RESTful APIs and microservices architecture.
• Experience with CI/CD tooling such as Jenkins or GitHub Actions.
• Demonstrated experience building, deploying, and maintaining production software systems.
• Ability to work in agile, collaborative development environments with limited direction.
• Strong communication skills for technical and non-technical collaboration.
• Familiarity with machine learning concepts, model evaluation, or data pipeline development.
• Experience or exposure to agentic workflows, LLM integrations, or AI-powered automations.
• Experience with Terraform for infrastructure as code.
• Familiarity with MongoDB or comparable NoSQL data stores.
• Familiarity with Temporal or comparable workflow orchestration tools.
• Experience with prompt engineering or RAG architectures.
• Familiarity with observability tooling or distributed tracing in production environments.
• Exposure to zero-trust security principles or secure-by-design development practices.
• Exposure to MCP server configurations or multi-agent frameworks.

Responsibilities

• Contribute to the design and delivery of AI-powered solutions across engagement types.
• Take ownership of assigned work through production with limited direction from senior engineers.
• Use large language models, agentic workflows, AWS/Azure cloud services, and Kubernetes to build business solutions.
• Participate in application and solution design discussions and engineering decisions.
• Follow and advance source code management, test automation, CI/CD, and modern engineering practices.
• Maintain operational ownership of delivered assets.
• Engage with Lines of Business stakeholders to develop relevant domain knowledge.
• Support teammates, participate in code reviews, and share discoverable knowledge.
• Stay current with AI and software engineering trends and apply new skills to deliverables.
• Participate in Engineering Chapter events and innovation activities.
• Contribute to team libraries, tools, and shared capabilities.

Skills

Python

Machine learning concepts

LLM integrations

Agentic workflows

AWS/Azure cloud services

Kubernetes

RESTful APIs

Microservices

CI/CD tooling

Terraform

Observability tooling

Security best practices (zero-trust)

MongoDB / NoSQL

Temporal / workflow orchestration

Prompt engineering

RAG architectures

Multi-agent frameworks

Education

Bachelor's degree in Computer Science, Engineering, or related STEM field

Tools

Jenkins

GitHub Actions

Temporal

Terraform

Kubernetes

Docker

MongoDB

AWS

Azure

Job description

• Contribute to the design and delivery of AI-powered solutions across engagement types


• Take ownership of assigned work through production with limited direction from senior engineers


• Use large language models, agentic workflows, AWS/Azure cloud services, and Kubernetes to build business solutions


• Participate in application and solution design discussions and engineering decisions


• Follow and advance source code management, test automation, CI/CD, and modern engineering practices


• Maintain operational ownership of delivered assets


• Engage with Lines of Business stakeholders to develop relevant domain knowledge


• Support teammates, participate in code reviews, and share discoverable knowledge


• Stay current with AI and software engineering trends and apply new skills to deliverables


• Participate in Engineering Chapter events and innovation activities


• Contribute to team libraries, tools, and shared capabilities

Requirements

• Bachelor's degree in Computer Science, Engineering, a related STEM field, or equivalent practical experience


• Minimum one year of hands-on software development experience with production delivery and maintenance of software systems


• 2 additional years of software engineering experience


• Authorized to work for any employer in the U.S.; no H-1B, TN, or Forms I-983/STEM OPT sponsorship/support


• Proficiency in Python


• Experience with AWS and/or Azure cloud services


• Experience with containerization and orchestration tools, including Kubernetes


• Proficiency with RESTful APIs and microservices architecture


• Experience with CI/CD tooling such as Jenkins or GitHub Actions


• Demonstrated experience building, deploying, and maintaining production software systems


• Ability to work in agile, collaborative development environments with limited direction


• Strong communication skills for technical and non-technical collaboration


• Familiarity with machine learning concepts, model evaluation, or data pipeline development


• Experience or exposure to agentic workflows, LLM integrations, or AI-powered automations


• Experience with Terraform for infrastructure as code


• Familiarity with MongoDB or comparable NoSQL data stores


• Familiarity with Temporal or comparable workflow orchestration tools


• Experience with prompt engineering or RAG architectures


• Familiarity with observability tooling or distributed tracing in production environments


• Exposure to zero-trust security principles or secure-by-design development practices


• Exposure to MCP server configurations or multi-agent frameworks

Core Competencies

Proficient in developing AI-powered solutions using Python, AWS, Azure, and Kubernetes, with a strong focus on CI/CD practices and production software delivery. Demonstrates effective communication and collaboration skills in agile environments while maintaining operational ownership of software systems.

Highest-signal resume keywords

• Python Proficiency


• AWS/Azure Cloud Services Experience


• Kubernetes Containerization and Orchestration


• CI/CD Tooling Experience


• Machine Learning Concepts Familiarity

ATS Optimization Keywords

Hard Skills

• Software Development


• Production Software Delivery


• RESTful APIs


• Microservices Architecture


• Terraform for Infrastructure as Code


• Prompt Engineering


• RAG Architectures


• MongoDB or Comparable NoSQL Data Stores


• Agentic Workflows


• Observability Tooling

Soft Skills

• Strong Communication Skills


• Collaboration in Agile Environments

Industry Keywords

• AI-Powered Solutions


• Zero-Trust Security Principles


• Secure-By-Design Development Practices


• MCP Server Configurations


• Multi-Agent Frameworks

Tools & Technologies

• Jenkins


• GitHub Actions


• Temporal or Comparable Workflow Orchestration Tools