We've partnered with an exciting startup in the AI infrastructure space to help hire a AI Research Engneer
You'll work directly with customers in various industries to deploy and fine-tune large language models into real production environments. Utilize prompt engineering, retrieval-augmented generation (RAG), RLHF, alignment techniques, and tooling to monitor model safety and performance.
Why this role is unique
- Work on real-world LLM applications, moving beyond prototyping to deploy systems in production environments
- Take ownership across varied projects, scoping and delivering solutions tailored to each customer's needs
- Collaborate with an experienced technical team focused on building reliable, aligned, and high-performance AI systems
- Join a company with strong early traction, active customer demand, and a clear path for growth and impact
Your background might include:
- 3+ years of experience in machine learning, NLP, or AI systems
- Hands-on work with foundation models (LLMs), prompt design, or model fine-tuning
- Experience deploying ML in production environments
- Strong coding skills in Python and deep learning frameworks (e.g., PyTorch)
- Comfort working directly with customers or external stakeholders on technical challenges
- Bonus: experience with RLHF, RAG, or model evaluation pipelines