Descrição
Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.
Job Summary
We are seeking a highly qualified professional to join our team as a GenAI / Agentic Engineer. As an essential part of our team, you will be responsible for developing, testing, deploying, and continuously improving Generative AI agents for Software Development Lifecycle (SDLC) and business process use cases. We are looking for a hands-on professional with strong expertise in Python, agentic frameworks, prompt engineering, LLM APIs, RAG, and enterprise integrations.
Qualifications
Professional experience developing solutions with Python
Strong software engineering practices, including clean code, modular design, testing, and version control
Hands-on experience with agent development frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
Experience integrating LLM APIs, including Azure OpenAI, Anthropic Claude, or equivalent services
Practical knowledge of RAG concepts, including chunking, embeddings, semantic search, hybrid search, and vector indexing
Experience integrating REST APIs and enterprise systems such as Git, Jira, Confluence, and Microsoft Teams
Knowledge of prompt engineering and context management for Generative AI applications
Basic knowledge of Docker and CI/CD practices using GitHub Actions, Azure DevOps, or equivalent tools
Ability to develop prototypes independently and evolve them into production-ready solutions
Strong analytical, troubleshooting, and communication skills
Ability to collaborate effectively with architects, engineers, product teams, and business stakeholders
Fluency in Portuguese and English B1
Responsibilities
Develop AI agents according to the designs, technical standards, and interface contracts defined by the Agentic Architect
Build and optimize system prompts, few-shot examples, tool instructions, and agent reasoning workflows
Integrate agents with external tools and APIs through tool use and function calling
Implement short-term and long-term memory mechanisms and manage session context
Build automated agent evaluations using golden datasets, regression tests, and LLM-as-a-judge techniques
Develop supporting backend components, including REST or SOAP endpoints, Azure Functions, and event processors
Integrate agents with Azure OpenAI, Azure AI Foundry, Azure AI Search, and enterprise applications
Implement RAG ingestion pipelines covering chunking, embeddings, indexing, and retrieval
Collaborate with Backend and Integration Engineers to define and consume secure API contracts
Perform functional, integration, security, and regression testing for AI agents
Participate in quality gates, including code reviews, output validation, and security analysis
Deploy agents through CI/CD pipelines and monitor their behavior in production
Document agent inputs, outputs, dependencies, limitations, escalation strategies, and operational requirements
Nice to Have
Experience with Azure AI Foundry, Azure AI Search, or Azure Functions
Knowledge of MCP (Model Context Protocol) and tool integration standards
Additional Information
Location: Lisbon or Porto
Working Model: Hybrid