Prosum Inc

Generative AI Engineer

Prosum Inc • $120K — $170K *
Irvine, CA 92620In-Person
Information Technology
5 - 7 years of experience
Reposted 2 weeks ago
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in building and deploying production LLM or generative AI systems
  • Strong background in distributed systems and production software engineering
  • Proficient in CI/CD pipelines, release management for AI services
  • Experience with cloud-native systems and APIs, preferably Azure
  • Bachelor's degree in a technical field, or equivalent experience
  • Preferred skills include advanced RAG and agent-based AI systems, familiarity with Python frameworks, and cloud AI services

Responsibilities

  • Owns end-to-end delivery of generative AI systems, from architecture to optimization
  • Designs LLM-powered applications and integrates them with enterprise systems
  • Establishes engineering standards and reusable patterns for AI development
  • Acts as a technical authority, guiding architectural decisions for the team
  • Continuously assesses and integrates new AI tools to enhance systems
  • Builds observability frameworks to monitor performance and reliability
  • Leads incident response and implements long-term solutions for stability

Benefits

  • Remote work arrangement
  • Standard business hours
  • Regular communication through video and written channels
  • Occasional travel as required
  • Opportunities for professional growth and development
  • Work in a fast-paced and innovative environment
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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