Senior Generative AI Engineer

Job not on LinkedIn

🕒 September 15

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Belva

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

📱 Media

🤝 B2B

🔧 Hardware

Media • B2B • Hardware

Belva is a media and audiovisual solutions company that combines creative strategy, content production, and technical installation to help organizations communicate and present professionally. They offer videoproduction, photography, graphic design and web design services, and also design, install, maintain and support meeting rooms, auditoria and mediarooms so clients have one partner for both content and the spaces/technology where it’s presented.

📋 Description

• 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

• 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

• 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

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