AI Research Intern, PhD Part-time

We are looking for a PhD-level AI Research Intern who will work part time for an 8 month term to join Assents AI & Innovation team. This internship is ideal for researchers who enjoy building and experimenting  and who want to apply LLM agent research to impactful production-oriented use cases.

You will explore how LLMs can act as intelligent agents autonomously reasoning planning and collaborating across data systems to solve complex enterprise problems. Your work will directly contribute to the design and prototyping of next-generation AI features that enhance Assents sustainability and compliance platform.

Eligible candidates will be asked to submit details regarding their relevant knowledge and experience in addition to a resume during the application process. These details are highlighted at the end of the job ad.

 In this role you will gain: 

• Hands-on experience developing LLM-driven prototypes in a real-world enterprise environment.
• Exposure to challenges of AI alignment observability and deployment in production ecosystems.
• Mentorship from senior AI and MLOps engineers working on cutting-edge AI and LLMOps frameworks.
• Opportunity to shape AI features that directly impact global supply chain sustainability.

Key Requirements & 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.

Qualifications :

We strongly value your talent energy and passion. It will also be valuable to Assent if you have the following qualifications. 

• Currently pursuing a PhD (3 years completed) in Computer Science Machine Learning AI or a related discipline available to work 20/hrs per week.
• 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.

To be submitted with your resume:

1. Coursework & Technical Foundations

Please list any courses you have taken related to LLMs deep learning reinforcement learning/planning information retrieval or multi-agent systems. Include brief notes on key concepts or tools covered.

2. Applied LLM / Agentic AI Projects

Describe one or two significant projects where you worked with LLMs or agentic AI systems.

• What problem were you solving

• What models frameworks (e.g. LangChain AutoGen) or architectures did you use

• What was your specific contribution

3. Retrieval & RAG Systems

Share any experience you have building retrieval or RAG-based systems.
Please include details on embedding models vector databases or knowledge graph components you implemented.

4. Experimentation & Evaluation

Describe a research experiment you designed and executed.
Highlight your evaluation methodology metrics used and what insights or outcomes you producedespecially any related to LLM behavior or reliability.

5. Prototyping & Engineering Skills

Briefly summarize your hands-on experience building AI prototypes.
Include experience with backend components prompt pipelines APIs or integrating models with data systems.

Additional Information :

Life at Assent

Wellness: We believe that you and your familys well being is important. As a result we offer vacation time that increases with tenure comprehensive benefits packages (details vary by country) life leave days and more.

Financial Benefits: Its not all about the money well its a little about the money. We understand that financial health is important and we offer a competitive base salary a corporate bonus program retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent we are committed to growing and sustaining an environment where our team members feel included valued and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences and fostering a culture of belonging where all team members are included treated with dignity and respect promoted on their merits and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process please contact and we will be happy to help.  

Remote Work :

No

Employment Type :

Full-time