Senior GenAI Engineer - Enterprise AI Platform Architect

Worky; Fort Worth (TX); On-site; USD 140,000 - 260,000; Full time

Job summary

Worky in Fort Worth, TX seeks a Senior GenAI Engineer to design, build, and deploy enterprise-scale AI apps leveraging LLMs, RAG, and agentic AI. This hands-on role covers architecture through production deployment.

You will implement scalable ingestion, embedding, retrieval, and vector search pipelines, develop AI agents with LangChain and related tools, and deploy cloud-native solutions on AWS/Azure/GCP with Docker and Kubernetes.

Qualifications

• 8+ years of software engineering, cloud engineering, AI/ML, or platform engineering experience.
• 3+ years of hands-on experience building production Generative AI or LLM-based applications.
• Strong expertise with Python and API development using FastAPI, Flask, or similar frameworks.
• Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
• Experience with Agentic AI frameworks including LangChain, LangGraph, CrewAI, LlamaIndex, Semantic Kernel, or AutoGen.
• Strong understanding of prompt engineering, tool calling, agent orchestration, and workflow automation.
• Experience developing cloud-native applications on AWS, Azure, or GCP.
• Hands-on experience with Docker, Kubernetes, Terraform, CI/CD pipelines, and modern DevOps practices.
• Experience integrating enterprise AI applications with databases, APIs, and business systems.
• Strong understanding of security, governance, and responsible AI best practices.

Responsibilities

• Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi-agent architectures.
• Build scalable document ingestion, embedding, retrieval, and vector search pipelines.
• Develop AI agents using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen, or similar technologies.
• Create secure backend services and APIs using Python, FastAPI, Flask, or comparable frameworks.
• Build intuitive AI-powered web applications using modern front-end technologies such as React, Angular, or Next.js.
• Deploy cloud-native AI solutions across AWS, Azure, and GCP using Docker, Kubernetes, and Infrastructure-as-Code.
• Implement observability, monitoring, LLMOps, and governance to ensure production reliability and responsible AI practices.
• Collaborate with product, engineering, architecture, and business stakeholders to deliver enterprise AI solutions.

Job description

Worky in Fort Worth, TX seeks a Senior GenAI Engineer to design, build, and deploy enterprise-scale AI apps leveraging LLMs, RAG, and agentic AI. This hands-on role covers architecture through production deployment.

You will implement scalable ingestion, embedding, retrieval, and vector search pipelines, develop AI agents with LangChain and related tools, and deploy cloud-native solutions on AWS/Azure/GCP with Docker and Kubernetes.