Conversational AI Engineer
About The Position
We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements. The position carries a strong emphasis on custom development, system integrations, and the delivery of scalable, secure, and reliable conversational AI solutions. This role is ideal for an engineer who is comfortable working across the full solution stack, from conversational design through backend services and cloud infrastructure.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
- 3+ years experience in software development, cloud platforms/architecture, or related IT role.
- Preferably hands-on experience with Google Cloud Platform (GCP) services including Cloud Run, API Gateway, Cloud Storage, BigQuery, and Vertex AI, or similar cloud architecture experience.
- Strong proficiency in programming, preferably with Python and JavaScript, and experience building backend services.
- Strong analytical, problem-solving, and communication skills, with the ability to translate ambiguous requirements into actionable technical solutions.
Responsibilities
- Design, build, and support conversational AI solutions across omnichannel platforms, with a primary focus on the Google CCAS suite, including Dialogflow Conversational Agents.
- Provide production support for conversational platforms and supporting services by troubleshooting conversational logic, webhook failures, backend integration issues, logs, and monitoring dashboards.
- Perform root-cause analysis for defects, outages, and performance issues, and implement long-term corrective solutions.
- Define and uphold production readiness standards, including observability, reliability, performance, scalability, and cost efficiency for conversational and AI services.
- Design and implement microservices-based architectures to support conversational AI, integrations, and business workflows.
- Create reusable frameworks, shared libraries, and common components to accelerate development and promote consistency across conversational solutions.
- Design and implement secure API integrations, including authentication and authorization flows, error handling, data transformation, middleware services, and proxy layers.
- Create and maintain technical documentation and architectural artifacts to support knowledge sharing and long-term maintainability.
- Collaborate with product, business, and engineering stakeholders to translate requirements into well-architected technical solutions.
- Provide technical leadership by contributing to architectural decisions, evaluating vendor solutions, and leading proof-of-concept (POC) initiatives.
- Stay current with advancements in conversational AI, cloud services, and AI/ML technologies through experimentation and continuous learning.
Benefits
- Medical, Dental, Vision, and Life Insurance
- Paid Sick Leave
- 3 weeks’ Vacation
- Holidays (about 11 a year)
- HSA or FSA account
- other voluntary benefits
- 401(k) Retirement Saving Plan with Employer Match Program
- 529 Savings Plan
- Employee Mortgage Loan Program
- free access to an Axos Bank Account with Self-Directed Trading
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
