AI Developer Porto

Location

Working at Core
Media is about working on exciting projects, for international customers, at global locations, with more than 220 great colleagues shaping the digital world. Join our team in
Portugal.

What you bring

• 2+ years of experience in AI, NLP, or LLM-based applications.
• 3+ years of experience with API development and consumption (REST, JSON, OAuth, etc. ).
• Hands-on experience working with at least one of the major LLMs: GPT, Claude, Gemini, or
  LLa
  MA.
• Practical experience with RAG architecture and vector databases (e. g. , Chroma
  DB, Pinecone, Weaviate).
• Strong backend development skills, preferably in PHP (alternatively Python or Java or Type
  Script).
• Familiarity with
  Lang
  Chain, Lang
  Graph, and
  Lang
  Smith.
• Understanding of MCP (Model Context Protocol) and structured prompt design.
• Experience deploying and operating AI systems on AWS, Azure, or
  - prem environments.

Nice to Have

• Experience mentoring or leading other engineers (notrequiredbut a plus).
• Familiarity with containerization and orchestration tools (e. g. , Docker, Kubernetes).
• Experience with
  - source LLM frameworks or
  - tuning custom models.
• Experience integrating
  -
  - text (STT) and
  -
  - speech (TTS) engines (e. g. , Whisper, Amazon Polly, Google Speech, Azure Speech).
• Exposure to Dev
  Ops, CI/CD pipelines, or
  MLOpsplatforms.

What we offer you

• The chance to work in an AI-first product team.
• A hybrid working model (remote + office).
• Flexible working hours.
• An onboarding program to guide you through all the company's departments
• Several amenities andperks
• Unique office space in the historicalcentreof Porto
• All the benefits of a large corporation combined with an informal and friendly environment
• A commitment to your development (we enjoy sharing and learning), with a career plan and regular feedback (regular 1-1 meetings and performance reviews)
• Health insurance

What you will do

• Develop AI-driven solutions using LLMs including GPT, Claude, Gemini, and
  LLa
  MA.
• Build andmaintain
  RAG pipelines with integration to a vector database for semantic search and retrieval.
• Design and manage workflows using
  Lang
  Chain, Lang
  Graph, and
  Lang
  Smith.
• Apply Model Context Protocol (MCP) for structured and reusable prompt engineering.
• Develop backend services primarily in PHP (preferred), or alternatively in Python or Java.
• Design, consume, andmaintain
  RESTful and external APIs, ensuring secure and efficient integrations.
• Deploy andoperate
  AI services across AWS, Azure, or
  - prem infrastructure asrequired.
• Monitor, evaluate, andoptimize
  LLM usage and performance in
  - world applications.