Senior AI Agent Developer - Conversational AI, Python & Google Cloud

Senior AI Agent Developer – Conversational AI, Python & GCP (Hybrid)

Job Title: Senior AI Agent Developer – Conversational AI, Python & GCP

Location: New York, NY – Hybrid (3 Days Onsite / 2 Days Remote)

Pay Rate: $61.00–$71.00/hour (W2), depending on experience

Employment Type: Long-Term Contract

Contract Duration: 12+ Months, with potential extension

Schedule: Monday–Friday | Hybrid (3 Days Onsite / 2 Days Remote)

Interview Process: First-round interview onsite in New York, NY; additional interviews as needed

About the Opportunity

Seneca Resources is seeking an experienced Senior AI Agent Developer to support a Fortune 500 enterprise organization in New York City with the architecture, development, integration, and deployment of advanced conversational AI solutions.

This is an exciting opportunity for a seasoned software engineer and AI developer who enjoys building intelligent, scalable applications using Google Cloud Platform (GCP), Dialogflow CX, Large Language Models (LLMs), and Python .

The ideal candidate brings a strong background in enterprise software engineering, hands-on conversational AI development, backend API integrations, and cloud technologies. Experience developing intelligent virtual agents, integrating Contact Center AI (CCAI) solutions, and implementing AI-powered automation within complex enterprise environments is particularly valuable.

This is a senior-level, hands-on AI engineering and technical leadership position combining conversational AI development, Python backend engineering, enterprise integrations, and cloud-based application architecture.

Key Responsibilities

• Conversational AI & Agent Development: Design, develop, deploy, and maintain enterprise conversational AI agents using Google Cloud Platform, Dialogflow CX, Google Enterprise Conversational AI (GECX), and LLM technologies.
• AI Agent Architecture: Develop intelligent conversational workflows, agent orchestration, intent recognition, fulfillment logic, and AI-powered tool integrations.
• Python Backend Development: Design and build scalable backend applications, REST APIs, webhooks, and fulfillment services using Python and modern software engineering practices.
• Contact Center AI Integration: Develop and support conversational AI integrations with contact center and IVR platforms, including Genesys, Amazon Connect, and Google Contact Center AI.
• Enterprise Systems Integration: Integrate AI agents with enterprise platforms and cloud services, including Microsoft Azure, Google Cloud, ServiceNow, and internal business applications.
• Full-Stack Application Development: Develop and enhance web applications and user interfaces using JavaScript/TypeScript, HTML, CSS, and modern frameworks such as React or Angular.
• LLM & Agent Frameworks: Implement AI agent orchestration, prompt engineering, tool calling, Model Context Protocol (MCP), and modern agent development frameworks.
• DevOps & CI/CD Automation: Develop and maintain automated build, testing, and deployment pipelines using Azure DevOps, Git, YAML, and infrastructure automation technologies.
• Cloud Infrastructure: Support containerized applications, cloud deployments, and Infrastructure as Code using Docker, Kubernetes, and Terraform.
• Automated Testing & Quality Engineering: Develop and maintain automated testing frameworks for conversational AI applications, backend services, APIs, and front-end components.
• Production Support & Optimization: Troubleshoot complex application issues, optimize AI agent performance, and improve production stability, scalability, and reliability.
• Technical Leadership: Provide architectural guidance, conduct code reviews, mentor developers, establish engineering standards, and collaborate with cross-functional technical teams.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
• 8+ years of professional software engineering experience , including at least 1 year of hands-on experience developing production conversational AI or LLM-powered applications .
• Advanced hands-on experience with Python , including backend application development, REST APIs, webhooks, debugging, and troubleshooting.
• Hands-on experience with Google Dialogflow CX, GECX, or a comparable enterprise conversational AI platform .
• Experience implementing Contact Center AI (CCAI), IVR systems, or contact center integrations , such as Genesys or Amazon Connect.
• Demonstrated experience designing conversational AI solutions, including agent workflows, intents, fulfillment services, and enterprise integrations.
• Strong experience with REST APIs, JSON, web services, and enterprise application integration .
• Understanding of Model Context Protocol (MCP), AI agent tools, and modern API integration patterns .
• Working proficiency with .NET/C# and JavaScript or TypeScript .
• Strong SQL development skills, including complex queries, data retrieval, optimization, and troubleshooting.
• Experience with automated testing frameworks such as PyTest, Jest, xUnit , or comparable technologies.
• Experience with Git, CI/CD pipelines, source control, and software development best practices .
• Hands-on experience with infrastructure and containerization technologies such as Docker, Kubernetes, or Terraform .
• Strong understanding of enterprise application architecture, cloud environments, application security, scalability, and reliability.
• Experience troubleshooting complex production issues, performing root cause analysis, and implementing technical solutions.
• Demonstrated ability to provide technical leadership, review code, mentor developers, and collaborate with cross-functional engineering teams.
• Excellent analytical, problem-solving, communication, and technical documentation skills.
• Must be able to work onsite in New York City three days per week and attend an onsite first-round interview.

Preferred Qualifications

• Experience developing AI agents using Google Agent Development Kit (ADK) or comparable AI agent development frameworks.
• Advanced experience with Google Cloud Platform (GCP), Dialogflow CX, and Google Contact Center AI (CCAI) .
• Experience implementing LLM-powered agent orchestration, tool calling, prompt engineering, and intent classification .
• Experience building evaluation frameworks to measure conversational AI accuracy, reliability, and response quality.
• Experience integrating conversational AI solutions with Genesys, Amazon Connect, or enterprise IVR systems .
• Experience with ServiceNow REST APIs, Flow Designer, and enterprise workflow automation .
• Strong experience with Azure DevOps Pipelines, YAML configurations, and automated CI/CD deployments .
• Experience with React, Angular, Node.js, or modern full-stack web development frameworks .
• Experience with front-end automated testing tools such as Playwright, Cypress, or Selenium .
• Experience with Terraform, Docker, Kubernetes, and cloud infrastructure automation .
• Familiarity with Google Cloud Run, Azure Functions, and serverless application architectures .
• Understanding of application security practices, including OAuth 2.0, secure API authentication, token management, CORS, and XSS prevention .
• Experience with Site Reliability Engineering (SRE), application monitoring, observability, and AIOps .
• Experience working in Agile/Scrum or Scaled Agile Framework (SAFe) environments.
• Previous experience serving as a technical lead, mentoring engineers, or establishing enterprise software development standards.
• Experience supporting large-scale, mission-critical enterprise applications and production AI deployments.

Why Consider This Opportunity?

• Innovative AI Technology: Build intelligent conversational AI agents and LLM-powered applications using modern enterprise technologies.
• Competitive Compensation: $61.00–$71.00/hour W2, depending on experience.
• Long-Term Opportunity: 12+ month contract with potential extension.
• Hybrid Work Schedule: Three days onsite in New York City and two days working remotely.
• Enterprise-Level Impact: Contribute to advanced AI initiatives supporting a Fortune 500 organization.
• Hands-On Technical Leadership: Influence AI architecture, agent development standards, enterprise integrations, and technical implementation strategies.
• Modern Technology Stack: Work with Python, Google Cloud, Dialogflow CX, LLMs, MCP, and cloud-based development tools.
• Collaborative Environment: Partner with experienced software engineers, cloud architects, product owners, and technical leaders to deliver innovative enterprise AI solutions.

About Seneca Resources

Seneca Resources is a client-focused provider of Information Technology consulting services and workforce solutions for government and commercial organizations across the United States.

Our success is driven by a strong corporate culture that values collaboration, professional growth, and career development. We offer engaging work, competitive compensation, ongoing training, and opportunities for advancement.

Seneca Resources is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace.