We are looking for a AI Engineer to join a Shipping SaaS Platform. This isn’t just a "prompt engineering" role—you will work at the intersection of deep mathematics and production-grade engineering to build, optimize, and scale LLM-powered systems that solve tangible problems. Reporting to manager based in the US.
What You’ll Do
Design and ship end-to-end AI solutions powered by the latest Large Language Models.
Use your background in mathematics and optimization to make our models faster, smarter, and more efficient.
Build robust pipelines for fine-tuning and evaluating models at scale.
Rapidly prototype via prompt engineering and tuning to find the best path forward.
Keep us at the cutting edge by integrating the latest NLP and LLM breakthroughs.
Your Technical Toolkit
Fluency in Python and deep experience with ML frameworks like PyTorch or TensorFlow.
A solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based, etc.).
Experience with vector databases, RAG, embeddings, and cloud-based API deployments.
Skills Required
- Fluency in Python
- Deep experience with ML frameworks such as PyTorch or TensorFlow
- Solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based)
- Experience with vector databases, RAG, and embeddings
- Experience building robust pipelines for fine-tuning and evaluating models at scale
- Experience with prompt engineering and rapid prototyping
- Experience with cloud-based API deployments
- Familiarity with latest NLP and LLM research and integration into production
- English speaking proficiency
What We Do
Hyphen Connect is a Web3 and AI talent agency and crypto-integrated software solutions provider that connects blockchain, DeFi, NFT, and AI companies with specialized technical and go-to-market talent globally and remotely. They deliver headhunting, data-driven research, and recruitment services across infrastructure, exchanges, gaming, and DeFi projects, plus industry analysis and hiring insights to help clients build engineering and product teams.
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