AI-Powered Software Engineering Intern

BLP

Barcelona

On-site

EUR 12,000 - 18,000

Full time

7 days ago
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Benefits offered by this job

Live real customer work
Fast track to permanent role
State-of-the-art tech exposure

Job summary

BLP is hiring Software Engineering Interns to join for a 6-month internship. You’ll work directly with the CTO and project/sales teams on live client work, split between Forward Deployed Engineering and Internal Tooling & Applied AI.

You’ll build production systems inside customer environments and ship AI-powered internal tools, with real ownership from day one and a clear path to a permanent role.

Qualifications

  • Bachelor's degree in Computer Science or MSc Engineering with CS coursework.
  • Hands-on experience with AI tooling (LLM APIs, AI coding assistants, agent frameworks).
  • Comfortable with TypeScript and quick tool adoption.
  • Entrepreneurial mindset with demonstrable side projects or tools.
  • Ability to work with non-technical teams and turn vague problems into working solutions.
  • Fluent in English; German a plus.
  • Bonus: experience with ERP/business-process tools (SAP, MS Dynamics, Oracle, NetSuite) or tools like Make, n8n, Retool, Supabase.

Responsibilities

  • Sit with end-users to understand real workflows and problems.
  • Translate target-state processes into technical solutions (architecture, data model, integrations).
  • Build full-stack: TypeScript backend, integrations, LLM orchestration, evals.
  • Support demos with real users and incorporate feedback into iterations.
  • Own observability and evals in live deployments.

Skills

AI tooling
TypeScript
Entrepreneurial mindset
Non-technical collaboration
Fluent English
German a plus

Education

BSc Computer Science
MSc Engineering CS coursework

Tools

LLM APIs
AI coding assistants
Agent frameworks
Workflow automation

Job description

BLP is hiring Software Engineering Interns to join for a 6-month internship. You’ll work directly with the CTO and project/sales teams on live client work, split between Forward Deployed Engineering and Internal Tooling & Applied AI.

You’ll build production systems inside customer environments and ship AI-powered internal tools, with real ownership from day one and a clear path to a permanent role.

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