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.
AI Engineers Mandatory: • 3-6+ years in ML/AI with strong python hands-on programming (4-5 years) • Extensive knowledge and expertise of leveraging GitHub Copliot/Claude Code/Amazon Q Developer to build coding prompts & contexts to convert business stories into quality working code & generate PRs. • > 1 year of GenAI hands on experience including working with different LLMs & Chatbots • 4+ years of AWS cloud experience including EKS, ECS, S3, Lambda, Kafka event streaming, Amazon Bedrock/Claude/OpenAI Redis Cache, NoSQL/SQL DB development • Solid knowledge of Prompt engineering/context engineering, Long term vs short term memory, Token management, RAG & Vectorization, Cache management, different frameworks of Agentic AI including Nice to have/Plus to have: • Hands on development of building MCPs & building autonomous agentic workflows • Agentic AI Development including Multi-agent systems for autonomous workflows • A/B testing of AI features including validation of agentic real time decisioning • Auto Lending/Auto-finance background & experience • Hands on RAG implementation including vectorDBs
Similar Jobs
Information Technology • Consulting
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.
Top Skills:
Agentic Ai FrameworksAmazon BedrockAmazon Q DeveloperCi/CdClaudeClaude CodeCloud-Native MessagingContext EngineeringDevsecopsGenerative AiGithub CopilotJavaScriptKafkaLarge Language Models (Llms)Microservices ArchitectureOpenaiPrompt EngineeringPythonReactRetrieval Augmented Generation (Rag)TypescriptVector Databases
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

