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Photon

engineering opportunity

Gen AI Engineer -Dallas, TX

The engineer will design and develop scalable platforms for deploying AI agents and managing enterprise-grade Generative AI applications. They will also implement governance frameworks, observability solutions, and multi-agent orchestration to ensure operational excellence and security.

Dallas, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Photon?

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.
  • Compensation, Benefits and Duration
  • 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

Which skills does this role require?

Generative AILLM integrationAgent orchestrationPrompt engineeringPlatform engineeringMicroservicesDistributed systemsCloud-native developmentAPI developmentAI governanceTelemetryObservabilityPythonContainerizationSoftware engineeringData scienceGenAIAgent PlatformLLMOrchestrationPrompt EngineeringAPIDistributed SystemsCloud-nativeAI GovernancePlatform EngineeringSoftware EngineeringData ScienceArtificial IntelligenceAutomationLifecycle ManagementScalabilitySecurityComplianceFoundation ModelsTool InvocationModel EvaluationTroubleshootingArchitectureEnterprise AILLMs

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