REMOTE_Senior Gen AI Engineer

Themesoft Inc; Denver (CO); Remote; USD 120,000 - 190,000; Full time

Job summary

The Senior AI Automation Engineer will design, develop, and deploy enterprise-grade AI applications in Denver, focusing on Generative AI, agent orchestration, and scalable workflows. You will build MCP servers, tools, and connectors to securely access enterprise systems, APIs, and databases.

Emphasis on LLM-powered solutions, prompt engineering, and RAG implementations. Responsibilities include creating Python-based microservices, deploying in Docker/Kubernetes environments, and collaborating

Qualifications

• Experience building scalable AI applications with Generative AI and enterprise agents.
• Strong background in designing and deploying AI-powered workflows.
• Proficient in prompt engineering and RAG implementations.
• Hands-on of Python-based microservices and APIs.
• Proven ability to deploy in cloud-native environments using Docker and Kubernetes.
• Experience across Azure, AWS and GCP platforms.

Responsibilities

• Design, develop, and deploy scalable AI applications and agents.
• Build and integrate MCP servers, tools, and connectors for enterprise systems.
• Develop and maintain LLM-powered solutions including prompt engineering and RAG.
• Create Python-based microservices and APIs integrating AI capabilities.
• Deploy and manage applications using Docker and Kubernetes across cloud platforms.
• Work across Azure, AWS, and GCP to ensure secure, scalable, available solutions.

Skills

Generative AI

LLM-powered solutions

Prompt engineering

Agent orchestration

APIs

Python

Microservices

Cloud-native architectures

Tools

Docker

Kubernetes

AKS

EKS

GKE

Azure

AWS

GCP

Job description

Role: Senior AI Automation Engineer (Gen AI Developer)
Location: Denver, CO
Duration: 6-12+ months

Role Descriptions:

• Generative AI and enterprise agent-based solutions| focusing on the design| development| and deployment of scalable AI applications.
• Designing and developing AI Agents and enterprise automation workflows to address business use cases.
• Building and integrating MCP (Model Context Protocol) servers| tools| and connectors to enable secure access to enterprise applications| APIs| databases| and external systems.
• Developing and maintaining LLM-powered solutions| including prompt engineering| agent orchestration| tool calling| and Retrieval-Augmented Generation (RAG) implementations.
• Creating and supporting Python-based microservices and APIs that integrate AI capabilities with enterprise platforms.
• Deploying| managing| and troubleshooting applications using Docker and Kubernetes (AKS| EKS| and GKE) in cloud-native environments.
• Working across Azure| AWS| and GCP to build secure| scalable| and highly available solutions.