- Company Name
- Murex
- Job Title
- 3A Product Internship - AI Engineer
- Job Description
-
**Job Title**
3A Product Internship – AI Engineer
**Role Summary**
An AI-focused 6‑month internship for a graduate (MSc/engineering) student. The role centers on building, prototyping, and validating an AI agent for a prioritized use‑case on a global fintech platform. Constant collaboration with Product and Business teams ensures the solution aligns with functional metrics and customer needs.
**Expectations**
- Deliver a fully functional AI agent prototype that meets agreed performance metrics.
- Participate in regular sprint meetings, providing updates, insights, and actionable recommendations.
- Thoroughly document experiments, evaluation protocols, and implementation details for transfer to production.
- Demonstrate a proactive, autonomous mindset and the ability to influence technical direction.
**Key Responsibilities**
- Design and prototype an AI agent for a selected platform use‑case.
- Define architecture: data ingestion, content normalisation, vector indexing (e.g., pgvector), and orchestration (e.g., PydanticAI).
- Apply best practices such as context engineering, Retrieval‑Augmented Generation (RAG), short‑ and long‑term memory techniques.
- Create and run benchmark protocols that assess precision/recall, prompt robustness, and cost per 1,000 requests; produce data‑driven recommendations.
- Iterate with Product and IA teams, aligning the project against a reference dataset and shared success metrics.
- Document experiments, best‑practice lessons, and contribute to the production rollout of the solution.
**Required Skills**
- Proficient Python programming with frameworks like LangChain, PydanticAI, or equivalents.
- Deep understanding of language models – transformers, embeddings, and fine‑tuning pipelines.
- Hands‑on experience with generative AI (LLMs such as GPT, LLaMA, Claude…) and vector databases (ChromaDB, pgvector, etc.).
- Knowledge of RAG, context engineering, and memory management in LLM applications.
- Strong analytical, problem‑solving, and communication skills (able to explain complex ideas to non‑technical audiences).
- Autonomous, dynamic, and proactive in proposing solutions.
**Bonus Skills**
- Basic familiarity with financial markets and regulatory terminology.
- DevOps basics – CI/CD, Git, Docker.
- Software development portfolio (GitHub) or participation in ML competitions (e.g., Kaggle).
**Required Education & Certifications**
- Current MSc/engineering student (Bac+5) with a specialization in Artificial Intelligence or related field.
- No specific certifications required; a demonstrable portfolio of AI projects or coursework is preferred.