Senior AI Software Engineer

AItoolnavio; United States; Remote; USD 149,000 - 201,000; Full time

Benefits offered by this job

Remote work within US

Health, dental, vision insurance

401(k) + company stock options

Home office budget

Paid time off

Holidays and parental leave

Professional development

Conference support

Open-source contributions

Job summary

AItoolnavio is seeking a Senior AI Software Engineer in the United States to join an innovative team building AI-native development tools. You will help design workflows that combine AI agents with deterministic systems for reliable software delivery, tackling Kubernetes, isolated execution environments, and automated validation.

You will influence architectural decisions, own complex features, and contribute to engineering best practices as the platform evolves to ensure security, reliability,

Qualifications

• 5+ years of professional software engineering experience.
• Strong proficiency in Go and TypeScript.
• Experience designing, building, and operating production software products.
• Practical experience integrating large language models (LLMs) or AI agents into software.
• Strong understanding of APIs, distributed systems, and architectures.
• Experience with Kubernetes, containers, and cloud-native development.
• Experience building reliable systems with automated validation and CI/CD.
• Ability to evaluate trade-offs and deliver complex solutions independently.
• Strong communication and collaboration skills.

Responsibilities

• Build AI-driven development workflows for packaging, validating, and deploying applications.
• Develop AI agent orchestration with deterministic tools and automated validation.
• Create secure isolated execution environments for AI agents.
• Integrate Kubernetes, packaging, containers, and deployment tools into workflows.
• Manage persistent application state and asynchronous execution in complex processes.
• Develop testing and validation to ensure security and deployability of software.
• Own design, implementation, and delivery of complex features and architectures.
• Investigate and resolve technical issues across Kubernetes, virtualization, storage, and networks.
• Improve reliability, security, performance, and observability of the platform.
• Collaborate with Product, UX, and end users to clarify requirements and deliver solutions.

Skills

Go

TypeScript

Distributed systems

AI integration

CI/CD

Tools

Kubernetes

Helm

Kata Containers

Zarf

MCP (Model Context Protocol)

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Software Engineer based in the United States.

Join an innovative engineering team building AI-native software development tools that simplify the creation, validation, packaging, and delivery of secure applications. In this role, you will help develop intelligent workflows that combine AI agents with deterministic systems to produce reliable, deployable software. You will tackle complex challenges involving agent orchestration, isolated execution environments, Kubernetes, and automated software validation. Working closely with Engineering, Product, UX, and end users, you will transform demanding technical requirements into intuitive and dependable product experiences. You will contribute to architectural decisions, take ownership of sophisticated features, and help establish engineering best practices as the product evolves. This is an opportunity to shape the future of secure software delivery in environments where reliability, security, and operational readiness are essential.

Accountabilities:

• AI-Driven Development Workflows: Build intelligent workflows that help users create, package, validate, maintain, and prepare mission applications for deployment.

• AI Agent Orchestration: Develop systems that combine AI reasoning with deterministic tools, automated validation, and human oversight to deliver dependable outcomes.

• Secure Execution Environments: Create isolated development environments for running AI agents and building software securely.

• Cloud-Native Integration: Integrate Kubernetes, UDS packaging, containers, and software delivery tools into automated development workflows.

• Application State and Workflow Management: Build systems that manage persistent application state, asynchronous execution, and complex development processes.

• Automated Testing and Validation: Develop testing and validation capabilities that verify generated software and packaged applications for security, reliability, and deployability.

• Technical Design and Architecture: Own the design, implementation, testing, and delivery of complex features while contributing to architectural decisions across product components.

• Problem-Solving and Debugging: Investigate and resolve complex technical issues involving Kubernetes, virtualization, storage, networking, and operating systems.

• Reliability and Performance: Improve software security, performance, observability, maintainability, and operational resilience.

• Cross-Functional Collaboration: Work with Product, UX, Engineering, and end users to clarify requirements, resolve ambiguity, and translate challenging problems into effective solutions.

• Code Quality and Mentorship: Review code, mentor teammates, share technical knowledge, and promote strong engineering practices.

• Technical Documentation: Document architectural decisions and implementation details while communicating clearly across teams.

• Continuous Improvement: Adapt to evolving product priorities and contribute to the development of engineering practices as the platform grows.

Requirements

The ideal candidate is an experienced software engineer with strong systems knowledge, practical AI integration experience, and the ability to deliver complex solutions independently. You should be comfortable navigating ambiguity and balancing innovation with security, reliability, and maintainability. Required and preferred qualifications include:

• At least 5 years of professional software engineering experience.

• Strong proficiency in a modern programming language, with Go and TypeScript preferred.

• Experience designing, building, and operating production software products.

• Practical experience integrating large language models (LLMs), AI agents, or AI-powered capabilities into software applications.

• Strong understanding of APIs, distributed systems, asynchronous workflows, and application architecture.

• Experience with Kubernetes, containers, and cloud-native application development.

• Experience building reliable, testable systems using automated validation and CI/CD pipelines.

• Ability to evaluate technical trade-offs, resolve ambiguity, and independently deliver complex engineering solutions.

• Strong communication, collaboration, analytical thinking, and problem-solving skills.

• Preferred additional experience:

  • Building AI agent orchestration systems, coding agents, or AI-powered developer tools.

  • Familiarity with LLM evaluation, tool calling, Model Context Protocol (MCP), and agent execution frameworks.

  • Experience with secure sandboxing, isolated execution environments, or Kata Containers.

  • Developing developer platforms, command-line interfaces (CLIs), or software development automation.

  • Familiarity with Zarf, Helm, Kubernetes operators, or software packaging workflows.

  • Experience with software supply chain security, artifact validation, and deployment automation.

  • Developing software for air-gapped, regulated, or otherwise restricted environments.

  • Contributions to open-source projects or developer tooling.

• U.S. citizenship is required because the employer is a contractor supporting the U.S. government.

• Must be legally authorized to work in the United States. The role is remote within the United States.

• Travel requirements are limited to approximately 0–5%.

Benefits

• Annual salary: $148,750–$201,250 USD, with the final compensation package based on experience. The range applies nationally across the United States.

• Health coverage: Medical, dental, and vision insurance, with 100% of employee premiums paid by the company.

• Health and protection benefits: Health Savings Account (HSA), life insurance, and disability insurance.

• Retirement and equity: 401(k) retirement plan and company stock options.

• Remote work support: Home office budget.

• Paid time off: Flexible Time Off (FTO) for full-time employees, in addition to all federal holidays.

• Holiday breaks: One week off for Thanksgiving and two weeks off for Christmas and New Year’s.

• Parental leave: Paid parental leave.

• Professional development: Reimbursement for approved training programs and subscriptions.

• Conferences: Support for conference attendance, including travel, lodging, and registration fees.

• Mission-driven work: Opportunities to contribute to secure, cloud-native software delivery and open-source technology supporting critical public-sector and enterprise missions.