Prosum Inc

Generative AI Engineer

Prosum Inc • $120K — $170K *
Dallas, TX 75217In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in generative AI or LLM systems
  • Strong background in prompt design and orchestration
  • Proven track record of developing AI output evaluation frameworks
  • Solid understanding of distributed systems and software engineering
  • Experience with CI/CD pipelines and operational management
  • Ability to influence architectural decisions and technical standards
  • Familiarity with cloud services and event-driven architectures (Azure or similar)

Responsibilities

  • Own the complete lifecycle of generative AI systems and optimize performance
  • Design and build applications powered by large language models (LLMs)
  • Establish engineering standards for AI workflows and outputs
  • Integrate AI systems with enterprise data and cloud services
  • Evaluate and optimize AI models for performance, cost, and latency
  • Develop observability frameworks for monitoring and logging
  • Collaborate with cross-functional teams to execute AI initiatives

Benefits

  • Remote work flexibility within the U.S.
  • Opportunity to shape best practices in a cutting-edge AI environment
  • Access to mentorship and hands-on technical guidance
  • Continuous opportunities for professional growth and technical skill enhancement
  • Involvement in innovative projects with high-impact on enterprise capabilities
Full Job Description
Job Description

Generative AI Engineer
Location: Remote (U.S.)
Salary Range: $120k to $170k
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


About Prosum Inc

Prosum Inc. is an information technology services company that provides a wide range of services to clients in the healthcare, financial services, and technology sectors. The company was founded in 2002 and is headquartered in Irvine, California. Prosum has a team of over 200 professionals who specialize in software development, cloud computing, and cybersecurity. The company has completed projects for clients such as Kaiser Permanente, Wells Fargo, and Microsoft. Prosum is committed to providing innovative solutions that help clients achieve their business goals.
Learn more about Prosum Inc
Size
200 employees
Industry
Information Technology
Net Income
$2 million
Founded
2002
5 Year Trend
+20%
Revenue
$50 million
* Ladders Estimates

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