Photon Logo

Photon

Gen AI Engineer -Dallas, TX

Posted 6 Days Ago
In-Office or Remote
Hiring Remotely in United States
37K-132K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
37K-132K Annually
Senior level
Designs, develops, and operates enterprise-grade platforms for AI agents and Generative AI applications. Responsibilities include agent orchestration, LLM and AI service integration, secure tool and API invocation, prompt lifecycle management, governance and safety controls, observability, model evaluation, deployment, troubleshooting, and platform optimization. The role collaborates with engineering, security, product, and data teams to deliver scalable, reliable, and compliant AI solutions.
The summary above was generated by AI

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

Photon New York, New York, USA Office

New York, United States

Similar Jobs

An Hour Ago
Remote or Hybrid
129K-233K Annually
Mid level
129K-233K Annually
Mid level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own and grow Square’s Detroit territory through field-based prospecting, business visits, live product demonstrations, consultative selling, and full-cycle deal closing. Build pipeline through cold outreach, networking, events, referrals, and partnerships; develop relationships with local businesses; support onboarding; maintain Salesforce activity and forecasts; and consistently exceed sales quotas across Square’s software, hardware, and financial services products.
Top Skills: Payment Processing TechnologySalesforceSquare
An Hour Ago
Remote or Hybrid
CA, USA
164K-297K Annually
Senior level
164K-297K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own the full outbound sales cycle for mid-market merchants, from prospecting and pipeline development through discovery, product demonstrations, negotiation, and close. Build net-new business through strategic outreach, sell multi-product solutions, manage complex multi-stakeholder deals, forecast accurately in Salesforce, and consistently exceed revenue targets. Collaborate with business development, product, marketing, implementation, and operations teams while serving as a consultative advisor to merchants.
Top Skills: Salesforce
An Hour Ago
Remote or Hybrid
CA, USA
95K-168K Annually
Entry level
95K-168K Annually
Entry level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure.
Top Skills: AICloud InfrastructureETLMachine LearningPythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account