Note: The job is a remote job and is open to candidates in USA. Logic Planet is presenting an opportunity for a Forward Deployed AI Engineer embedded with Google Cloud customer environments. The role focuses on building, deploying, debugging, and optimizing production-grade agentic AI solutions, integrating Google AI products with customer infrastructure, and converting field insights into reusable modules and product feedback.
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 Google’s AI products (Gemini-powered CX, Customer Engagement Suite, and Contact Center AI) 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 Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption
Skills
- 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., GCP)
- 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
- Hands-on experience implementing and customizing Google's Conversational AI product suite, including Conversational Agents (Gemini-powered CX), Customer Engagement Suite (CES), and Contact Center AI (CCAI)
- Master's or PhD in AI, Computer Science, or a related technical field
- Experience implementing multi-agent systems using frameworks (e.g., Lang Graph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation)
- Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing
- Additional deployment readiness criteria (Google RFI benchmark)
- Conversational AI & Agentic Depth: Production-grade experience architecting voice and agentic systems across the Google Enterprise CX ecosystem (Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, CCaaS)
- Vetted Technical Rigor: Formally assessed, top-decile engineering talent (e.g., Google AI/FDE Bootcamp certification or verified 80%+ benchmark assessments)
- Telecom Architecture Fluency: Demonstrated domain depth with telecom APIs, user authentication (UA), and enterprise business architectures (BAA)
- Autonomous Delivery & Multiplier Impact: Senior "tiger team" talent capable of driving execution independently while actively upskilling co-delivery partner teams
Benefits
- 100% Remote
- Long Term Contract
Company Overview
Company H1B Sponsorship