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.
NOTE: DETAILED JD WILL BE SHARED TO THE HIRING TEAM. PLEASE OVERLOOK THE ONE THAT IS SHARED HERE..Develop, test, and maintain software applications using Java, Python or Node.js • Write clean, efficient, and well-documented code following best practices. • Demonstrate strong analytical and problem-solving skills to debug and optimize code. • Collaborate with cross-functional teams to design and implement new features. • Understand and apply basic data structures & algorithms to solve programming challenges. • Work with databases (SQL or NoSQL) for data storage and retrieval. • Participate in code reviews and contribute to technical discussions. • Stay updated with emerging technologies, including AI/ML concepts, agents, and automation tools. • Communicate effectively with team members and stakeholders
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
Design, build, and operate a secure, scalable enterprise Generative AI platform on AWS (including AWS Bedrock). Own platform lifecycle: architecture, deployment, operations, monitoring, incident management, reliability, and governance. Implement LLM inference, RAG, Agents, guardrails, observability, security controls, access management, compliance, and cost optimization. Support production-grade GenAI applications in regulated/financial environments.
Top Skills:
AgentsAWSAws BedrockLlmsMicroservicesPythonRest ApisRetrieval-Augmented Generation (Rag)
Information Technology • Consulting
Design and deliver GenAI solutions: prototype to production LLM services, build RAG pipelines, fine-tune models (LoRA/QLoRA/PEFT), engineer prompts/tools/memory, ensure safety and evaluation, deploy with MLOps (CI/CD, containers, IaC), optimize inference, and ensure security/compliance while collaborating with product, data, and SRE teams.
Top Skills:
Agentic PatternsChunkingCi/CdContainerizationContent FiltersDocument StoresEmbeddingsEvaluation FrameworksFilteringFoundation ModelsGuardrailsHosted ApisInfrastructure As CodeLlmLoraMultimodalObservability ToolingOpen-Source ModelsPeftPii HandlingPrompt EngineeringQloraRagRe-RankingRetrievalVector Databases
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
