Gen AI Engineer -Dallas, TX
At a glance
Mid-level AI Engineering role at Fa Ertb Saasfaprod1. United States · $37,000–$132,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build platforms for launching and operating AI agents and generative AI applications at scale
- Create orchestration services for agents that coordinate across tasks and work autonomously
- Connect language models and other AI services, then secure their use of tools, APIs, and automated workflows
- Set up prompt versioning, governance safeguards, operational monitoring, and model-quality evaluations
- Improve platform reliability and efficiency, support model deployment and troubleshooting, and document architecture standards
What you bring
- At least six years in software, platform, AI, or cloud engineering
- A bachelor's or master's degree in computer science, AI, data science, engineering, or another related field
- Experience with enterprise APIs, microservices, distributed systems, and integrating AI models and services
- Working knowledge of generative AI, agent designs, prompt lifecycle practices, AI safety, and containerized cloud development
Who this fits
This role suits an engineer focused on building and running enterprise AI-agent platforms, rather than only developing individual AI applications. You’ll work across engineering, security, product, and data teams. The position is not open to independent contractors.
From the employer
GenAI / Agent Platform Engineer Experience
6-10 Years
Job Title
GenAI / Agent Platform Engineer
Job Summary
We are seeking an experienced GenAI / Agent Platform Engineer to design, develop, and operate enterprise-grade AI agent platforms that enable the deployment of intelligent, scalable, and secure Generative AI solutions. The ideal candidate will have expertise in AI agent orchestration, Large Language Model (LLM) integration, tool and API invocation frameworks, prompt engineering, policy enforcement, observability, and platform reliability.
This role focuses on building the foundational platforms, services, and governance frameworks that power AI agents, copilots, and autonomous workflows across the enterprise while ensuring security, compliance, and operational excellence.
Key Responsibilities
- Design and develop scalable platforms for deploying and managing AI agents and GenAI applications.
- Build and maintain agent orchestration frameworks supporting multi-agent workflows and autonomous task execution.
- Integrate Large Language Models (LLMs), foundation models, and AI services from cloud and third-party providers.
- Develop secure mechanisms for tool invocation, API integrations, and workflow automation.
- Implement prompt management, prompt versioning, and prompt optimization strategies.
- Establish AI governance controls, policy enforcement, and safety guardrails to ensure responsible AI usage.
- Design and implement telemetry, monitoring, and observability solutions for AI platform operations.
- Develop evaluation frameworks to measure model quality, latency, accuracy, cost, and reliability.
- Collaborate with engineering, security, product, and data teams to deliver AI-powered solutions.
- Optimize platform performance, scalability, and operational efficiency.
- Support AI model deployment, testing, troubleshooting, and lifecycle management.
- Create technical documentation, architecture diagrams, and platform standards.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- 6-10 years of software engineering, platform engineering, AI engineering, or cloud engineering experience.
- Strong understanding of Generative AI, LLMs, and AI agent architectures.
- Experience building enterprise-grade APIs, microservices, and distributed systems.
- Hands-on experience integrating and managing AI models and AI service platforms.
- Knowledge of prompt engineering, prompt lifecycle management, and AI safety principles.
- Experience with cloud-native application development and containerized environments.
- Strong problem-solving, analytical, and troubleshooting skills.
- Excellent communication and stakeholder management capabilities.
Minimum Compensation: USD 37,000
Maximum Compensation: USD 132,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post