Design, develop, and maintain enterprise AI applications, including conversational assistants, copilots, autonomous agents, RAG solutions, and workflow automation. Build scalable APIs and microservices integrating foundation models and enterprise systems. Apply prompt and context engineering, memory management, observability, governance, and performance optimization. Collaborate with cross-functional teams to identify automation opportunities and participate in Agile development, code reviews, CI/CD, and DevSecOps.
Role: AI Engineer
Description:
- Design, develop, and maintain AI-powered enterprise applications using React, TypeScript, JavaScript, Python, and Microservices Architecture.
- Leverage GitHub Copilot, Claude Code, Amazon Q Developer, and other AI coding assistants to convert business requirements and user stories into production-ready code and pull requests.
- Architect and develop AI-enabled solutions using LLMs, GenAI services, and Agentic AI frameworks.
- Build scalable backend APIs and microservices integrating AI services with enterprise systems.
- Design and implement Retrieval Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
- Develop conversational AI applications, copilots, virtual assistants, and intelligent workflow automation solutions.
- Implement Prompt Engineering and Context Engineering techniques to improve AI output quality, consistency, and performance.
- Build autonomous and semi-autonomous AI agents capable of orchestrating multi-step business processes.
- Design memory management strategies, including:
- Short-term Memory
- Long-term Memory
- Context Windows
- Token Optimization
- Integrate AI services using:
- Amazon Bedrock
- Claude
- OpenAI
- Other Foundation Model Platforms
- Develop event-driven architectures leveraging Kafka and cloud-native messaging services.
- Collaborate with Product Owners, Architects, Business Analysts, and Development teams to identify AI automation opportunities.
- Implement AI governance, observability, monitoring, and performance optimization practices.
- Participate in Agile development, code reviews, CI/CD automation, and DevSecOps processes.
Similar Jobs
Information Technology • Consulting
Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.
Top Skills:
A/B TestingAgentic AiAmazon BedrockAmazon EcsAmazon EksAmazon Q DeveloperAmazon S3Apache KafkaArtificial IntelligenceAWSAws LambdaChatbotsClaudeClaude CodeContext EngineeringGenerative AiGithub CopilotLlmsMachine LearningMcpMulti-Agent SystemsNoSQLOpenaiPrompt EngineeringPythonRagRedisSQLVector DatabasesVectorization
Information Technology • Consulting
Develop, test, and maintain applications using Java, Python, or Node.js. Write clean, efficient code, debug and optimize, collaborate with cross-functional teams, use data structures/algorithms, work with SQL/NoSQL databases, participate in code reviews, and stay current on AI/ML concepts, agents, and automation tools.
Top Skills:
AgentsAIAutomation ToolsJavaMachine LearningNode.jsNoSQLPythonSQL
Cloud • Information Technology • Security • Software • Cybersecurity
Pipeline requisition for a future Partner Director opportunity at Zscaler, a cloud security company. The posting does not provide specific responsibilities, qualifications, compensation, travel requirements, or security clearance details. Candidates may be considered for future opportunities aligned with their expertise.
Top Skills:
Cloud SecuritySaseZscaler Zero Trust Exchange
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
