Top Tech Jobs & Startup Jobs

Develop and enhance enterprise AI agents, orchestration workflows, conversational experiences, and tool-calling capabilities using Python, LangGraph, and LangChain. Integrate agents with backend systems through APIs, support MCP and A2A communication, and contribute to AI observability using Arize. Collaborate with engineers and subject-matter experts to improve platform reliability and deliver AI use cases.

Develop and enhance enterprise AI agents and orchestration capabilities using Python, LangGraph, and LangChain. Build guided workflows, conversational AI experiences, planning and tool-calling functionality, and integrations with backend systems. Support MCP and A2A communication, AI observability with Arize, troubleshooting, reliability improvements, and delivery of centralized AI platform capabilities across multiple business use cases.

Designs, develops, tests, deploys, and supports enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Responsibilities include building secure and accessible interfaces, optimizing databases, supporting CI/CD, troubleshooting across the technology stack, contributing to solution architecture, collaborating with cross-functional teams, maintaining technical documentation, and improving engineering standards.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Build secure, scalable interfaces and back-end services, optimize databases, support CI/CD and deployment automation, troubleshoot across the technology stack, and collaborate with product, architecture, QA, DevOps, and business teams. Contribute to technical design, documentation, code quality, security, and continuous engineering improvement.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces, Java and Spring Boot services, Node.js and Python back ends, REST APIs, microservices, and relational databases. Contribute to cloud deployments, CI/CD automation, testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Build, configure, test, and document Google CCAI contact center solutions, including DTMF IVR menus, call flows, queues, routing, transfers, integrations, virtual agents, and Agent Assist. Execute structured testing, support UAT, resolve configuration defects, maintain requirements traceability, prepare technical documentation, and collaborate with customer stakeholders. The role requires extensive production CCaaS experience, Google CCAIP expertise, API-based integrations, CRM connectivity, and conversational AI implementation.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, and cloud platforms. Build secure APIs, optimize databases, support CI/CD and cloud-native deployments, troubleshoot across the technology stack, and collaborate with product, architecture, QA, DevOps, and business teams. Contribute to technical design, documentation, code quality, engineering standards, and continuous improvement.

Design, develop, test, deploy, and support enterprise full-stack applications. Build React interfaces, Java and Spring Boot back-end services, APIs, microservices, databases, and cloud deployments. Contribute to CI/CD, automated testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Lead enterprise AI adoption and change-management initiatives by advising executives, prioritizing audiences and use cases, developing role-based enablement, translating AI capabilities into workflows, analyzing usage data, coordinating cross-functional partners, and reporting on sustained adoption, responsible usage, and business impact.

Designs and leads end-to-end Genesys Cloud CX contact centre solutions for complex, regulated banking environments. Responsibilities include architecture, IVR and routing design, API integrations, CRM and analytics connectivity, security and regulatory compliance, technical governance, implementation oversight, stakeholder engagement, and solution documentation. The role requires hands-on contact centre architecture experience, strong enterprise integration skills, and the ability to guide solutions from initial concept through delivery.