AI Software Engineer

Role Description

We're seeking an 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.

Key Responsibilities

• 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 DevOps 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.

Qualifications

• 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.

Requirements

• 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 Terraform for Infrastructure as Code.
• Experience with Docker and Kubernetes.
• Experience using Git and modern CI/CD pipelines.
• Strong understanding of software design principles, API development, and cloud-native architectures.

Preferred Qualifications

• Nice to have worked with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
• Nice to have worked with vector databases such as Pinecone, Amazon OpenSearch, pgvector, or Weaviate.
• Experience with Amazon ECS, Amazon EKS, Lambda, API Gateway, DynamoDB, or S3.
• Familiarity with prompt engineering, AI evaluation, and model observability.
• Experience with DevSecOps and secure software development practices.
• Nice to have experience supporting U.S. Federal Government customers.
• Familiarity with NIST 800-53, FedRAMP, FISMA, or CMS security requirements is a plus.

What We're Looking For

• Passion for solving complex business problems using AI.
• Curiosity to learn and experiment with emerging AI technologies.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to thrive in a collaborative, fast-paced Agile environment.
• Customer-first mindset with a commitment to delivering high-quality software solutions.

Eligibility to Work at ArcheSys

• All work must be performed within the continental United States.
• Candidates must be legally authorized to work in the U.S. without sponsorship.
• Selected candidates may be required to complete background investigations and obtain government security authorization for certain projects.
• ArcheSys participates in E-Verify.

What We Offer

• Competitive salary and comprehensive benefits package.
• Fully remote work environment.
• Opportunity to build next-generation AI and cloud-native solutions.
• Exposure to OpenAI, Amazon Bedrock, Agentic AI, and emerging AI technologies.
• Continuous learning through certifications, training, conferences, and professional development.
• Collaborative culture that encourages innovation, experimentation, and career growth.
• Opportunity to support impactful Federal and Commercial digital transformation initiatives.