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.