Senior GenerativeAI Engineer jobs in United States
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Iris AI · 3 hours ago

Senior GenerativeAI Engineer

Iris AI is a company focused on transforming enterprise revenue operations through AI-driven solutions. They are seeking a Senior GenerativeAI Engineer to design, build, and operate GenerativeAI systems, while collaborating with backend leadership and cross-functional engineering teams.

Artificial Intelligence (AI)ComplianceCyber SecurityEnterprise SoftwareGenerative AISaaSSoftware
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Growth Opportunities
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Responsibilities

Design and build GenerativeAI-based agents integrated into existing backend services
Extend and improve current GenerativeAI workflows, not just greenfield systems
Build sophisticated agentic systems that unlock new product capabilities
Enable agents to reason, call tools, and act within defined system boundaries
Build, integrate, and maintain LLMOps tooling
Make informed decisions on building vs buying GenerativeAI infrastructure components
Support GenerativeAI experimentation frameworks for evaluating models, prompts, and workflows
Ensure GenerativeAI systems are observable, debuggable, and production-ready
Design and maintain efficient prompt management across models and use cases
Version, test, and iterate on prompts and workflows safely in production
Balance quality, consistency, latency, and cost
Work hands-on with inference models and embedding models
Improve orchestration of multi-step GenerativeAI workflows
Define and track quality metrics for GenerativeAI workflows and agents
Measure accuracy, consistency, and reliability across models and releases
Design evaluation frameworks to compare new models, prompts, and workflows
Ensure GenerativeAI changes are validated before rollout to production
Design and implement guardrails to prevent: Data leakage, Prompt injection, Data poisoning
Ensure GenerativeAI systems adhere to security and privacy best practices
Collaborate with backend and security teams to harden AI workflows

Qualification

GenerativeAI systemsLLMOpsBackend engineeringAWS servicesPythonCI/CD practicesInference modelsEmbedding modelsAI toolsCollaborationProblem-solving

Required

Proven experience building production GenerativeAI systems
Experience designing and operating agentic workflows
Hands-on experience with inference and embedding models
Experience building RAG-based systems and working with vector stores
Experience implementing evaluation, monitoring, and experimentation for GenerativeAI systems
Ability to reliably measure quality, consistency, and performance of GenerativeAI outputs
Experience validating and comparing new models, prompts, and workflows
Experience implementing safety and security guardrails for GenerativeAI systems
Strong experience as a senior backend engineer in production environments, using Python
Proven ability to write, review, and refactor backend code in collaborative codebases
Experience integrating APIs, async workflows, and long-running processes
Familiarity with the full software development lifecycle (SDLC)
Design and implementation
Code reviews and testing
CI/CD, deployment, and monitoring
Familiarity with AWS services, including Bedrock, EC2, ECS, S3, RDS
Experience deploying and operating backend and GenerativeAI services in cloud environments
Familiarity with CI/CD practices for both backend and GenerativeAI workflows
Experience integrating testing, evaluation, and deployment into automated pipelines
Strong adherence to engineering best practices, conventions, and maintainability
You are expected to actively use AI tools to increase development velocity
Using AI coding assistants such as Cursor, Claude Code, and Copilot
Applying LLMs for code generation, refactoring, debugging, and documentation
Using AI tools to accelerate experimentation and iteration
Maintaining high code quality while increasing throughput

Preferred

Experience working in fast-growing startups
Familiarity with Model Context Protocol (MCP) or similar structured context and tool-integration approaches
Experience designing internal GenerativeAI platforms or shared AI tooling

Benefits

Health benefits package (including medical, dental, vision)
Unlimited PTO
Employee Assistance Program
Flexible Spending Accounts
401(k)

Company

Iris helps sales and presales teams win faster by automating the hardest parts of the RFP process.

Funding

Current Stage
Early Stage
Total Funding
$5M
Key Investors
Florida FundersMDJ Group
2025-02-01Seed· $3M
2024-01-04Pre Seed· $2M

Leadership Team

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Sagee Moyal
Co-Founder
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Company data provided by crunchbase