Senior AI Engineer — Hybrid (LLMs, AI Agents, MLOps)

ITSector

Braga

Híbrido

EUR 65 000 - 95 000

Tempo integral

há 15 horas
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Vantagens oferecidas por esta oferta de emprego

Health Insurance
Hybrid work model
Training opportunities
Team events

Resumo da oferta

ITSector seeks a senior software engineer with a strong AI focus to design and implement AI-powered applications and agents. You will craft prompts, build agent workflows, and integrate AI models with enterprise systems, while ensuring secure, scalable production readiness.

The role requires deep Python skills, 3+ years on AI production, and hands-on cloud experience (Azure/GCP). Hybrid work model and ongoing training are offered to keep you at the cutting edge.

Qualificações

  • Minimum 5 years of professional software engineering experience, including 3+ years designing and implementing AI-based solutions in production environments.
  • Hands-on experience with state-of-the-art LLMs such as GPT, Gemini, Claude, Llama, Mistral, or equivalent models.
  • Ability to design effective prompting and context-engineering strategies, structured outputs, and evaluation approaches to optimize LLM performance for production use.
  • Experience building AI agent applications using frameworks such as LangChain, LangGraph, Google ADK, Microsoft Agent Framework, or comparable technologies.
  • Understanding of agent workflows, multi-step reasoning, memory management, tool calling, and state orchestration.
  • Strong Python development skills; experience with additional programming languages like .NET (mandatory).
  • Knowledge of asynchronous programming, API development, relational and NoSQL databases, and scalable service-oriented architectures.
  • Experience designing and implementing AI pipelines for document ingestion, indexing, retrieval, and response generation.
  • Understanding of AI quality evaluation, latency optimization, and cost monitoring.
  • Experience working with Azure, Google Cloud Platform, or equivalent cloud environments.
  • Knowledge of Docker, Kubernetes, Infrastructure as Code (Terraform), and CI/CD practices.
  • Familiarity with cloud security, identity management (IAM), and deployment automation.
  • Familiarity with AI-powered software development tools, including GitHub Copilot and AI-assisted testing, code review, and development workflows.
  • Experience implementing secure secret management and applying data governance and privacy best practices, including GDPR compliance.
  • Written and verbal communication skills (Portuguese and English).
  • Passion for learning and staying up to date with the rapidly evolving AI ecosystem.
  • Strong analytical and problem-solving skills.
  • Self-driven mindset with a focus on continuous improvement.
  • Ability to work effectively in cross-functional and agile teams.
  • Sense of responsibility, commitment and integrity.
  • Focus on innovation, dynamism, autonomy and teamwork.

Responsabilidades

  • Design, develop, and maintain AI-powered applications and intelligent agents.
  • Build integrations between AI models and enterprise systems through APIs and custom tools.
  • Develop scalable pipelines for knowledge retrieval and information processing.
  • Ensure AI solutions are secure, reliable, scalable, and production ready.
  • Promote engineering best practices across LLMOps, MLOps, observability, testing, and continuous delivery.
  • Evaluate emerging AI technologies and contribute to the evolution of the organization's AI capabilities.

Conhecimentos

Python
LLM design
Prompting
Agile
Cross-functional teamwork
AI pipelines
Cloud platforms
Docker
Kubernetes
CI/CD

Formação académica

Degree in Computer Engineering or AI

Ferramentas

LangChain
LangGraph
Azure
Google Cloud Platform
Docker
Kubernetes
Terraform

Descrição da oferta de emprego

ITSector seeks a senior software engineer with a strong AI focus to design and implement AI-powered applications and agents. You will craft prompts, build agent workflows, and integrate AI models with enterprise systems, while ensuring secure, scalable production readiness.

The role requires deep Python skills, 3+ years on AI production, and hands-on cloud experience (Azure/GCP). Hybrid work model and ongoing training are offered to keep you at the cutting edge.

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