AI & Agentic Platform Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI & Agentic Platform Intern (AI): Contributing to the design and implementation of a centralized Agentic AI platform with an accent on infrastructure orchestration, tool integration, and knowledge base configuration. Focus on building core agentic workflows, utilizing AWS-native architectures, and optimizing retrieval-augmented generation (RAG) pipelines in a live enterprise environment.
Location: Must be based in London, UK. This role is hybrid with 4+ days on-site in the London office.
Company
is a global commodities trading company leveraging advanced fundamental analysis, deep quantitative research, and powerful technology to adapt nimbly to changing market conditions.
What you will do
- Configure and maintain core agentic AI infrastructure, including orchestration layers and runtime services within an AWS VPC.
- Build and integrate agent tooling using AWS Lambda and Model Context Protocol (MCP) servers.
- Develop agent skills and manage knowledge bases including vector databases and retrieval pipelines.
- Evaluate and integrate AI frameworks such as LangChain and LlamaIndex for regulated, IP-sensitive production use.
- Support the secure deployment and user adoption of AI productivity tools like Microsoft Copilot and Claude Code.
- Collaborate with engineers and stakeholders to test and improve agentic workflows through iterative feedback.
Requirements
- Currently enrolled in a UK-based undergraduate degree (Computer Science, Software Engineering, AI, Data Science) with eligibility for a 13-month sandwich placement.
- Must be available to commence the placement on 01 July 2026.
- Proficiency in Python with hands-on experience building scripts or applications.
- Familiarity with cloud computing concepts, ideally AWS.
- Understanding of containerization, REST APIs, and version control.
- Strong problem-solving skills and the ability to work effectively in a collaborative, fast-paced team environment.
Nice to have
- Experience with LLM frameworks like LangChain or LlamaIndex.
- Knowledge of vector databases such as pgvector or Pinecone.
- Exposure to CI/CD pipelines or infrastructure-as-code practices (Terraform, CloudFormation, CDK).
- Understanding of prompt engineering and multi-agent system design.
Culture & Benefits
- 25 days of annual holiday entitlement plus public holidays.
- Comprehensive health, dental, and life assurance plans.
- 9% employer-paid pension contributions.
- Hybrid working environment with in-office luxury health club access.
- On-site kitchen with complimentary drinks and snacks.
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