Forward Deployed Engineer

About Aviato Consulting
Aviato Consulting is an elite, ex-Googlers-founded GCP solutions firm and consecutive Best Place to Work winner. Combining an innovative, Google-style engineering culture with zero bureaucracy, we offer true remote freedom from anywhere in India and the opportunity to tackle high-impact challenges alongside the elite minds of the ecosystem.
Role Overview
We are seeking a Forward Deployed Engineer to code, integrate, and deploy custom, production-ready enterprise solutions in complex environments.
Key Responsibilities
Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between Google’s 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 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.
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., GCP).
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Experience leading technical discovery sessions with customers.
Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
Preferred Qualifications
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and 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.
What We Offer
100% Remote Freedom: Work from anywhere in India.
True Ownership: Full ESOP access after just six months.
Elite Culture: Google-caliber engineering standards with zero corporate bureaucracy.

Work arrangement
Yes