AI Software Engineer

ArcheSys Inc is a technology consulting firm delivering innovative cloud, AI, DevSecOps, and digital modernization solutions. They are seeking an AI Software Engineer who will design, develop, and optimize AI applications, leveraging emerging technologies to support mission-critical initiatives.

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