Generative AI Engineer

Prosum; Dallas (TX); Remote; USD 120,000 - 165,000; Full time

Job summary

Prosom specializes in generative AI engineering, seeking a seasoned professional to lead end-to-end GenAI systems in production. You will design, build, deploy, and optimize scalable AI solutions that integrate with enterprise data and APIs.

The role demands architectural leadership, strong prompt tooling, and a focus on secure, observable pipelines. Location preference is Dallas–Fort Worth with openness to remote candidates in EST/CST time zones; salary ranges from $120k to $165k per year,

Qualifications

• Experience building and deploying production-grade LLM or generative AI systems.
• Strong prompt design and orchestration skills.
• Experience with CI/CD pipelines and release management.
• Distributed systems and production software engineering background.
• Cloud-native architectures (Azure or similar).
• Security considerations in AI deployments.
• Bachelor’s degree or equivalent.

Responsibilities

• Own end-to-end lifecycle of generative AI systems, from architecture to deployment and monitoring.
• Design and build LLM-powered apps, agent-based workflows, and RAG pipelines.
• Set engineering standards for prompt design, orchestration, and workflow lifecycles.
• Lead architecture decisions and best practices for GenAI initiatives.
• Integrate AI with enterprise data, internal APIs, and cloud services.
• Evaluate models and optimize latency, cost, and performance.
• Maintain observability and CI/CD pipelines; lead incident response.
• Ensure security with safeguards like human-in-the-loop controls.

Skills

LLM deployment

Prompt design

Distributed systems

CI/CD pipelines

Cloud-native

Model evaluation

Observability

Security

Education

Bachelor’s degree in a technical field

Tools

Azure

Docker

Kubernetes

Python

Job description

## Generative AI Engineer**Dallas Fort Worth,TXNA**Employment Type:PermJob Number: 25577Remote Options: Remote## Job Description**Generative AI Engineer** **Location:** DFW preferred or open to candidates working remotely in EST/CST timezones **Salary Range:**$120k to $165k **About the Role** We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade AI systems. This role is responsible for designing, building, deploying, and continuously optimizing scalable generative AI solutions that integrate seamlessly with enterprise systems. You will act as a technical authority, shaping best practices and driving innovation across AI initiatives. ---**What You’ll Do*** Own the full lifecycle of generative AI systems, from architecture and development to deployment, monitoring, and optimization* Design and build LLM-powered applications, including agent-based workflows, multi-step RAG pipelines, and enterprise AI solutions* Establish and enforce engineering standards across prompt design, orchestration, structured outputs, and workflow lifecycle management* Serve as a technical leader for GenAI, guiding architecture decisions and best practices* Integrate AI systems with enterprise data, internal APIs, and cloud-native services* Evaluate and select models, implement routing strategies, and optimize for latency, cost, and performance* Continuously assess emerging AI tools and improve existing systems* Own system performance across reliability, scalability, throughput, and cost efficiency* Build and maintain observability frameworks (monitoring, tracing, logging, alerting)* Design and manage CI/CD pipelines, including versioning and release processes* Lead incident response and root cause analysis, implementing long-term fixes* Develop evaluation pipelines for LLM outputs, including regression testing and failure analysis* Implement safeguards such as human-in-the-loop workflows, schema validation, and output controls* Ensure systems are secure against prompt injection, data leakage, and unauthorized access* Collaborate with leadership and cross-functional teams to define and execute AI initiatives* Provide hands-on technical guidance, mentoring, and code reviews* Promote iterative delivery with frequent releases and continuous feedback loops---**Required Qualifications*** Proven experience building and deploying production-grade LLM or generative AI systems* Strong expertise in prompt design, orchestration, and model tradeoffs* Experience developing evaluation frameworks for AI outputs and validating quality* Solid background in distributed systems and production software engineering* Experience with CI/CD pipelines, release management, and operational ownership* Demonstrated ability to define technical standards and influence architecture decisions* Experience with cloud-native systems, APIs, and event-driven architectures (Azure or similar)* Experience integrating AI solutions with enterprise data and security requirements* Bachelor’s degree in a technical field or equivalent practical experience---**Preferred Qualifications*** Experience with advanced RAG pipelines and agent-based AI systems in production* Familiarity with cloud AI services and modern infrastructure tooling* Experience with Python-based AI frameworks and data pipelines* Experience with containerization and deploying AI workloads* Knowledge of responsible AI practices and governance* Domain experience in areas such as product data, ERP, ecommerce, or analytics platforms