Belva
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.
Senior Gen AI Engineer
Job not on LinkedIn
🕒 March 31
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Belva
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
• Collaborate with other AI engineers, product engineers, and infra teams to build, evaluate, and iterate on AI-powered systems • Bring a deep understanding of GenAI technologies and strong software engineering skills to bear on solving real-world problems through well-architected, testable, and observable solutions.
🎯 Requirements
• 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.
🏖️ Benefits
• Fully Remote • Flexible work arrangements
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