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Prognity Technologies
GenAI Forward Deployed Engineer (FDE)
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Job Description
Prognity Technologies is looking for a hands-on GenAI Forward Deployed Engineer (FDE) to build, integrate, and deploy production-grade AI Agents, Agentic AI, Multi-Agent Systems, and Conversational AI solutions for enterprise customers. If you're an engineer who enjoys working at the intersection of Generative AI, software engineering, cloud architecture, enterprise data, and customer delivery , we'd love to hear from you. What you'll work on Serve as a hands-on builder, taking GenAI prototypes to production-grade AI applications and agentic workflows Build and deploy AI agents, multi-agent systems, and agentic workflows for enterprise use cases Architect and develop the integration layer between Gemini, Dialogflow CX, Conversational AI, Contact Center AI (CCAI) and customer infrastructure Build RAG (Retrieval-Augmented Generation) solutions using vector databases, embeddings, structured and unstructured enterprise data Develop integrations using Python, APIs, REST APIs, microservices, and cloud technologies Work with GCP / Google Cloud, Vertex AI, Gemini, Dialogflow CX, and enterprise AI platforms Build AI evaluation pipelines, observability frameworks, monitoring, tracing, and performance optimization solutions Address enterprise AI production challenges including data readiness, integrations, security, state management, latency, accuracy, and reliability Work directly with customers on technical discovery, solution architecture, troubleshooting, and production deployment Co-build with customer engineering teams and help take AI solutions from prototype to production Identify repeatable AI implementation patterns and develop reusable solutions, frameworks, and technical best practices What we're looking for 5+ years of software engineering experience , preferably with Python or similar programming languages Hands-on experience with Generative AI, GenAI, LLMs, AI Agents, Agentic AI, or Conversational AI Experience architecting and deploying AI systems on cloud platforms, preferably GCP / Google Cloud Strong experience with RAG, vector databases, embeddings, structured and unstructured data Experience taking production-grade AI solutions from conception to launch Experience with Gemini, Dialogflow CX, Conversational AI, Contact Center AI (CCAI), or related Google AI technologies Experience building multi-agent systems using frameworks such as LangGraph, CrewAI, or Google ADK is a strong plus Experience with APIs, enterprise integrations, microservices, cloud architecture, and Terraform Experience with AI evaluation, observability, monitoring, tracing, or LLM performance optimization Strong technical discovery, troubleshooting, communication, and customer-facing engineering skills Ability to work independently in a Forward Deployed / customer-facing engineering environment Ability to collaborate with enterprise engineering teams and drive autonomous technical delivery Willingness to travel as required for customer engagements Interested? Directly Apply or Contact at reach@prognity.org If you know a strong GenAI Engineer, Forward Deployed Engineer, Applied AI Engineer, AI Engineer, Agentic AI Engineer, LLM Engineer, Conversational AI Engineer, or Solutions Engineer , please share this opportunity with them. GenAI Forward Deployed Engineer, Forward Deployed Engineer, FDE, GenAI Engineer, Applied AI Engineer, AI Engineer, Generative AI, Agentic AI, AI Agents, Multi-Agent Systems, LLM, Large Language Models, RAG, Retrieval-Augmented Generation, Vector Databases, Embeddings, Conversational AI, Dialogflow, Dialogflow CX, Gemini, Vertex AI, Contact Center AI, CCAI, Google Cloud, GCP, Python, APIs, REST APIs, Microservices, Terraform, Enterprise AI, AI Evaluation, LLM Evaluation, AI Observability, LLM Observability, AI Monitoring, AI Tracing, Cloud Architecture, Enterprise Integrations, Customer Engineering, Technical Discovery, Solutions Engineer, LangGraph, CrewAI, Google