AI Software Engineer

Archesys Inc

1d • Remote

About The Position

ArcheSys is a technology consulting firm delivering innovative cloud, AI, DevSecOps, 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.

Requirements

• 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.
• 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.
• 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).
• 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).
• Public Trust Clearance (or ability to obtain)

Nice To Haves

• Worked with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
• 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.
• Experience supporting U.S. Federal Government customers.
• Familiarity with NIST 800-53, FedRAMP, FISMA, or CMS security requirements is a plus.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level