Senior Generative AI Engineer

Belva

. Build, evaluate, and iterate on AI-powered systems .

Posted 9/15/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evaluating AI-powered systems, with a strong focus on Generative AI capabilities and orchestration frameworks. Proficient in Python and experienced in evaluating LLM models, A/B testing, and creating chat-based user experiences.

Highest-signal resume keywords

Generative AI SystemsPython ProgrammingPrompt EngineeringOrchestration FrameworksLLM Model Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Application DevelopmentSoftware DevelopmentA/B TestingSynthetic Dataset GenerationContext Engineering

Soft Skills

Outstanding Communication Skills

Tools & Technologies

LangChainLangGraphAWSVoice APIs

Industry Keywords

Human-in-the-Loop WorkflowsAgent UX ConsiderationsStartup ExperienceModel Context Protocol

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Build, evaluate, and iterate on AI-powered systems
Collaborate with other engineers to solve real-world problems
Build production-grade AI applications integrating cutting-edge Generative AI capabilities
Develop well-architected, testable, and observable solutions
Create agentic workflows using orchestration frameworks
Build chat-based user experience features
Evaluate and monitor LLM models in production
Conduct A/B testing and apply observability practices
Generate and use synthetic datasets for evaluation and testing

Requirements

What you’ll need

Must be a Citizen or Green Card Holder and live in the United States
B.S. degree in Computer Science or equivalent field, or 10+ years of experience in the software development / AI field
7+ years of overall software development experience
2+ years of hands-on experience working closely with Generative AI systems
Understanding of the strengths and weaknesses of various foundational models
Advanced proficiency in Python, especially with AI/ML libraries and tooling
Expertise in prompt engineering, including structured prompt design and optimization
Experience creating agentic workflows and using orchestration frameworks such as LangChain and LangGraph
Exposure to human-in-the-loop (HITL) workflows and agent UX considerations
Experience building chat-based UX features
Solid understanding of best practices in context engineering
Demonstrated ability to evaluate and monitor LLM models in production, including A/B testing and observability practices
Experience generating and using synthetic datasets for evaluation or testing
Startup experience; comfortable wearing multiple hats and working with ambiguity
Outstanding communication skills, clear, concise, and effective in both writing and speech
Nice to have: experience integrating agents via Model Context Protocol (MCP)
Nice to have: experience with fine-tuning open-source LLMs and managing LLM Ops workflows
Nice to have: familiarity with AWS, voice APIs, or multi-modal LLMs

Benefits

Comp & perks

Ethical, privacy-first AI mission
Fully remote work
Opportunity to join an early team at a fast-paced AI startup
Opportunity to build production-grade AI applications using cutting-edge GenAI capabilities
Passion, attitude, and potential valued over pedigrees
Opportunity to shape the future of AI and build tools that serve people