Senior Conversational AI Engineer / Associate Architect – Google ADK at Miratech

Yakima, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Agent Development Kit (ADK), Dialogflow CX/ES, Python, FastAPI, Flask, Google Cloud Platform (GCP), CCAI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, Prompt Engineering, NLP/NLU, RESTful APIs, CI/CD, Agile

Industry

IT Services and IT Consulting

Description

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a valuesdriven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description The Senior Conversational AI Engineer / Associate Architect – Google ADK is responsible for leading the design, development, and deployment of enterprise-grade conversational AI solutions using Google’s Agent Development Kit (ADK) and CCAI ecosystem. This role combines hands-on engineering expertise with architectural ownership, ensuring scalable, secure, and high-performance multi-agent AI systems aligned with enterprise business objectives. The position plays a key role in driving technical excellence, mentoring engineering teams, and contributing to long-term AI architecture strategy. Responsibilities: Design, develop, and scale agentic AI systems using Google Agent Development Kit (ADK), ensuring enterprise-grade performance, security, and scalability. Architect and implement multi-agent workflows, tool orchestration, and stateful conversational systems integrated with Dialogflow CX/ES. Develop production-grade Python services (FastAPI, Flask, or equivalent) to support middleware, APIs, and enterprise integrations. Design and deploy scalable solutions on Google Cloud Platform (GCP), leveraging services such as CCAI, Cloud Run, Cloud Functions, Pub/Sub, and BigQuery. Implement advanced prompt engineering strategies, NLP/NLU best practices, context management, and robust error handling to optimize conversational experiences. Integrate conversational agents with enterprise platforms (CRM systems, contact centers, databases) while ensuring observability through logging, monitoring, and performance optimization. Provide technical leadership through architecture reviews, mentorship, best-practice enforcement, and cross-functional collaboration with product, DevOps, and business stakeholders. Qualifications 6–10 years of experience in software engineering, with a strong focus on backend and cloud-based systems. Hands-on experience with Google Agent Development Kit (ADK) as a primary and mandatory skill, including: Agent workflow development Tool integrations Multi-agent orchestration Production deployment 3+ years of experience building conversational systems using Dialogflow CX/ES. Advanced proficiency in Python, with experience in FastAPI, Flask, Django, or similar frameworks. Proven experience deploying and managing applications on Google Cloud Platform (GCP). Strong understanding of NLP/NLU concepts, prompt engineering, conversational design, and context/state management. Experience designing RESTful APIs and implementing webhook fulfillment services. Familiarity with CI/CD pipelines, Git-based workflows, and Agile development methodologies. Demonstrated ability to architect scalable, high-performance AI solutions in enterprise environments. Nice to Have: Experience designing enterprise-grade contact center automation solutions. Exposure to multi-cloud or hybrid-cloud environments. Experience working with large-scale enterprise clients in regulated industries such as healthcare, insurance, or financial services. Knowledge of AI governance, security best practices, and compliance frameworks. We offer: Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. Work From Anywhere Culture: make the most of the flexibility that comes with remote work. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The role involves leading the design, development, and deployment of enterprise-grade conversational AI solutions utilizing Google's Agent Development Kit (ADK) and CCAI ecosystem. Key duties include architecting multi-agent workflows, developing production Python services, and ensuring solutions are scalable and secure on GCP.