Gen AI Developer with Dialogflow and Conversational AI

Role : Gen AI Developer with Google Cloud Platform AND Python 
Location: Remote 
Duration: 12 months

Should have solid exp with Dialogflow and Conversational AI

JOB DESCRIPTION:
As a GenAI Forward Deployed Engineer (FDE) for client , you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

JOB RESPONSIBILITIES:
● Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
● Architect and code the connective tissue between clients AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
● Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
● Identify repeatable field patterns and friction points in client AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
● Co-build with customer engineering teams to instill client grade development best practices, ensuring long-term project success and high end-user adoption.

MINIMUM QUALIFICATIONS:
● Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
● 5 years of experience with software development using Python or similar coding languages.
● Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
● Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
● Experience taking production-grade AI-driven solutions from conception to launch for customers.
● Experience leading technical discovery sessions with customers.