Senior AI Developer

🕒 Fevereiro 25

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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EBizCharge

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2004

💳 Fintech

☁️ SaaS

🤝 B2B

Fintech • SaaS • B2B

EBizCharge é uma plataforma de automação de pagamentos e contas a receber que oferece processamento de pagamentos embutidos (crédito/débito, eCheck), terminais virtuais, cobrança recorrente, pagamento móvel/via texto e prevenção a fraudes. Ela se integra nativamente a ERPs, sistemas de contabilidade, CRMs e plataformas de eCommerce para automatizar a aplicação de caixa, reduzir dias de vendas em aberto e simplificar a cobrança de pagamentos para pequenas, médias e grandes empresas. O serviço inclui tokenização, armazenamento de dados fora do local, proteção contra chargeback e preços transparentes.

Descrição

• Design, develop, and maintain MCP servers that expose external tools and capabilities to AI assistants. • Implement specific MCP tools (functions) for reading files, managing issues, interacting with databases, or triggering complex workflows. • Define and structure resources, schemas, and prompts accessible to AI agents. • Ensure security and access control for the MCP server, limiting which tools and data agents can execute or access. • Manage API integrations and external data sources used by MCP tools. • Use JSON Schema or similar standards to document and validate tool definitions. • Integrate MCP Server tools with Azure AI Foundry agents, enabling AI agents to perform actions such as data querying, workflow automation, and API interaction. • Collaborate with product managers and front-end teams to integrate AI capabilities into user-facing platforms (e.g., Microsoft Copilot, VS Code extensions, or web portals). • Utilize Azure Functions, Azure Logic Apps, and Azure Cognitive Services to connect MCP-based AI workflows to enterprise systems. • Develop and manage tools that interface with Azure resources (e.g., Azure Storage, Azure SQL, Azure Compute Services) through the MCP Server. • Enable AI agents to securely manage, retrieve, and utilize Azure resources. • Apply best practices in cloud security, authentication, and API permissions management. • Conduct comprehensive testing and debugging of MCP tools and Azure integrations. • Create detailed documentation for MCP tools, including usage examples, API specifications, and integration guides. • Ensure scalability, performance, and reliability of MCP and AI Foundry deployments. • Partner with AI engineers, cloud architects, and data scientists to align tool development with strategic goals. • Present technical solutions and architectural decisions to stakeholders in clear, actionable terms. • Contribute to the AI governance framework, ensuring responsible AI tool design and usage.

🎯 Requisitos

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. • 5+ years of experience in AI development. • Proven track record of deploying secure, production-grade AI cloud-integrated systems. • Hands-on experience designing or integrating MCP Servers or agent tool frameworks. • Strong coding ability in Python; familiarity with R is a plus. • Experience with ML/DL libraries: TensorFlow, PyTorch, Scikit-learn, Keras. • Familiarity with frameworks for RESTful API or microservice development (e.g., FastAPI, Flask, .NET Core). • Understanding of how large language models (LLMs) interact with tools, contexts, and external APIs. • Knowledge of AI agent architectures and prompt engineering for tool-enabled reasoning. • Strong experience with Azure, especially Azure AI Foundry, Azure OpenAI Service, Azure Functions, and Azure Storage. • Familiarity with AWS or GCP is a plus. • Experience with CI/CD pipelines, Git, and containerized deployment (Docker, Kubernetes). • Knowledge of authentication mechanisms (OAuth, API Keys, Managed Identity). • Experience in defining and enforcing access control policies for AI tools and APIs. • Understanding data privacy and compliance in AI systems. • Prior work on intelligent assistants, AI copilots, or MCP-based integrations. • Background in designing agentic AI systems or tool-augmented LLMs. • Familiarity with LangChain, Semantic Kernel, or other AI orchestration frameworks. • Experience in AI-driven workflow automation, knowledge retrieval, or business process orchestration. • Excellent problem-solving and analytical thinking. • Strong communication skills, with the ability to explain complex systems clearly. • Proactive collaboration in fast-paced, cross-functional environments. • Commitment to innovation, security, and responsible AI development.

🏖️ Benefícios

• 100% employer paid benefits (including Medical, Dental, Vision, & life insurance) for selected plans for the employee. • Retirement 401(k) plan with company match. • Gym access, dry cleaners, car wash conveniently located within building. • Generous PTO plan with an additional 9 Days Company Paid Holidays per year.