AI Engineer (Early Career)
Embedding VCAdded 2mo ago
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Quick summaryby newgrad.ai
What you'll do
- Develop and deploy features across the full stack for their new AI agent platform
- Move quickly from concept to testing with real customers, then refine based on feedback
- Share your perspective on where the product should evolve
- Engage directly with language models, autonomous agents, voice systems, and contemporary AI development tools
What they're looking for
- Recent graduate or someone early in their engineering career with minimal industry experience
- Demonstrated track record of creating things through personal projects, competitions, or community contributions
- Competent with core engineering principles and motivated to grow your skills
- Self-directed approach to problem-solving and comfort navigating uncertainty in a lean, rapid-moving team
About Lingopal
Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform aimed at enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies.
About the Role
We're looking for an early-career AI Engineer — a fresh grad or someone with limited professional experience but an unmistakable passion for building. You'll work alongside our founding team and Tech Lead on our new AI agent product, ship real features quickly, and be encouraged to form and voice your own opinions about where the product should go.
What You'll Do
- Build and ship product features across the stack on our new AI agent product.
- Prototype fast, learn from pilot customers, and iterate.
- Bring your own point of view on product direction — we want engineers who think like owners, not ticket-takers.
- Work hands-on with LLMs, agents, and voice AI, and use modern AI coding tools daily.
What We're Looking For
- Fresh grad or early-career engineer with limited professional experience.
- A passionate builder — a portfolio of projects, side-projects, hackathons, or open source that shows you love to make things.
- Solid engineering fundamentals and eagerness to learn fast.
- Own opinions on product and a strong sense of ownership.
- Comfortable with ambiguity and a fast, low-process environment.
From Embedding VC's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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