Senior Generative AI Engineer

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🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 15%

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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 production-grade AI applications integrating cutting-edge GenAI capabilities • Collaborate with other engineers to build, evaluate, and iterate on AI-powered systems • Solve real-world problems through well-architected, testable, and observable solutions • Evaluate and monitor LLM models in production, including A/B testing and observability practices • Generate and use synthetic datasets for evaluation or 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 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 (e.g., LangChain, 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 • 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 (nice to have)

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