Agentic AI Engineer (Internacional)

PJ, Gothenburg On-site

Contratação para uma empresa localizada na Suécia. Há necessidade de mudança para Gotemburgo.

Are you excited about the future of intelligent agents and Generative AI? We’re looking for an Agentic AI Engineer to help automate workflows and augment human decision-making across teams.You will be responsible for building autonomous, LLM-powered agents that interact with tools and APIs, retrieve and process knowledge, and deliver real business value through dynamic orchestration of data and services.


Key responsibilities:

  • Build and deploy LLM-powered agents for business process automation (e.g., using
    LangChain, AutoGen, OpenAI).
  • Implement Retrieval-Augmented Generation (RAG) pipelines integrating with internal
    knowledge sources (e.g., Confluence, Google Drive).
  • Develop multi-step reasoning chains, function calling, and agent memory for complex
    workflows.
  • Integrate agents with third-party APIs (Salesforce, GitHub, Jira, Slack, etc.).
  • Define best practices around prompt engineering, tool usage, and secure API
    communication.
  • Collaborate with cross-functional teams to understand and prioritize automation
    opportunities.
  • Track AI reliability, hallucination risks, and ethical use across deployed solutions.
  • Design evaluation strategies for agent performance, reliability, and business impact.
  • Support fine-tuning or embedding optimization to improve agent accuracy and task
    alignment.
Requirements
  • Academic degree in Computer Science, Engineering, or a related field.
  • Strong software engineering background- Python a must; experience with Bash, JavaScript or
    Golang is a plus.
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex) and APIs (OpenAI,
    Gemini, Claude).
  • Proficient in integrating external APIs using REST/GraphQL and managing agent workflows.
  • Comfortable with cloud platforms (preferably GCP/Vertex AI or Azure OpenAI) and
    containerized environments.
  • Experience with RAG, semantic search, vector databases (e.g., Pinecone, FAISS), and prompt templating.
  • Strong understanding of security, privacy, and responsible AI practices.
  • Curious, experimental, and fast learner with excellent communication skills in English.
  • Familiarity with orchestration frameworks (e.g., CrewAI, MetaGPT, AutoGen) is a strong advantage.
by Quickin