AI Research Engineer specializing in kernel and inference optimization for advanced AI systems at Tether. Driving innovation in model serving architectures with a global remote team.
About the role
- AI Research Intern position focused on LLM agent research at Assent. Contribute to AI features enhancing supply chain sustainability in a remote-first environment.
Responsibilities
- Research and prototype LLM-based agent architectures, exploring task decomposition, reasoning, and collaboration between agents
- Implement and evaluate proof-of-concept AI systems using open-source or proprietary LLM models and frameworks.
- Develop scalable experiment pipelines to assess model behavior, safety, and reliability
- Build and optimize Python-based backend components, including prompt chains, vector stores, and evaluation tooling
- Integrate prototypes with internal data systems and APIs, simulating realistic enterprise environments
- Collaborate with ML engineers and product teams to define success metrics and transition promising prototypes toward production
- Document findings in internal research reports, technical memos, and demonstrate the results
Requirements
- Currently pursuing a PhD (3+ years completed) in Computer Science, Machine Learning, AI, or a related discipline
- Strong coding and prototyping skills in Python, including familiarity with one or more of: PyTorch, TensorFlow, or similar ML frameworks
- LLM agent frameworks (LangChain, LlamaIndex, DSPy, AutoGen, or Semantic Kernel)
- Vector databases (FAISS, Chroma, Pinecone, or Milvus)
- RAG and retrieval systems using embeddings and knowledge graphs
- Deep understanding of LLM internals, including prompting strategies, fine-tuning, and model evaluation
- Experience with cloud-based development (AWS) and modern MLOps or LLMOps workflows is an asset
- Strong experimental design, data analysis, and communication skills
Benefits
- vacation time that increases with tenure
- comprehensive benefits packages (details vary by country)
- life leave days
- competitive base salary
- corporate bonus program
- retirement savings options
- flexible work options
- volunteer days
- opportunities to get involved in corporate giving initiatives
- professional development days
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