AI Software Engineer

Arche Sys is a technology consulting firm delivering innovative cloud, AI, Dev Sec Ops , and digital modernization solutions to Federal, State, and Commercial customers. We help organizations accelerate mission outcomes through cloud-native engineering, intelligent automation, and secure software development.

We're seeking a AI Software Engineer who is passionate about building production‑grade AI applications using Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and Agentic AI. This is a hands‑on engineering role where you'll design, develop, deploy, and optimize secure AI solutions running on AWS.

This is a fully remote, full‑time position offering the opportunity to work on emerging AI technologies that support mission‑critical public sector initiatives.

Location: This is a remote position.

Residency Requirement: Candidates MUST have lived in the U.S. for at least 3 of the past 5 years and be authorized to work in the U.S. (Citizen, Permanent Resident, or EAD).

Sponsorship: This position does not offer any type of sponsorship. Candidates must already be authorized to work in the U.S. (e.g., Citizen, Permanent Resident, or EAD).

Clearance: Public Trust Clearance (or ability to obtain)

AI Application Development

• Design, develop, and maintain AI‑powered applications using Python.
• Build intelligent applications leveraging OpenAI APIs, Amazon Bedrock, and other enterprise LLM platforms.
• Design and implement Retrieval‑Augmented Generation (RAG) architectures using enterprise knowledge sources and vector databases.
• Develop Agentic AI workflows capable of autonomous reasoning, planning, and task execution.
• Build reusable AI services, APIs, and software components for enterprise applications.
• Optimize prompts, model interactions, and application performance for reliability, scalability, and cost efficiency.
• Leverage AI development tools safely and effectively, taking ultimate human accountability for the design, security, and test coverage of all generated code.

Cloud & Infrastructure Engineering

• Design, deploy, and maintain AI solutions on AWS.
• Build Infrastructure as Code (IaC) using Terraform.
• Develop containerized applications using Docker.
• Deploy and manage workloads on Kubernetes.
• Collaborate with Dev Ops engineers to automate deployments through CI/CD pipelines.
• Ensure AI solutions meet security, scalability, and operational requirements.

Software Engineering & Integration

• Develop secure REST APIs and backend services.
• Integrate AI capabilities with enterprise applications, cloud services, and external APIs.
• Write clean, maintainable, well‑tested, and reusable code following software engineering best practices.
• Participate in architecture reviews, code reviews, and technical design discussions.

Innovation & Research

• Evaluate emerging AI frameworks, tools, and technologies.
• Prototype new AI capabilities and rapidly validate proof‑of‑concepts.
• Recommend improvements that increase developer productivity and enhance customer outcomes.
• Help establish reusable AI patterns, templates, and best practices across projects.

Documentation & Collaboration

• Create technical documentation, architecture diagrams, implementation guides, and operational runbooks.
• Work closely with Solution Architects, Cloud Engineers, Product Managers, and customers to translate business requirements into AI solutions.
• Participate in Agile ceremonies, sprint planning, backlog refinement, and knowledge‑sharing sessions.

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related discipline (or equivalent professional experience).
• 4–8 years of professional software engineering experience.
• 2+ years of professional Python development experience.
• Must be a U.S Citizen or Green Card Holder.

Technical Skills

• Strong Python programming skills.
• Efficient prompt engineering
• Experience building applications on AWS.
• Experience integrating OpenAI APIs and/or Amazon Bedrock.
• Hands‑on experience implementing Retrieval‑Augmented Generation (RAG) solutions.
• Experience designing or developing Agentic AI workflows.
• Experience developing RESTful APIs.
• Experience using…