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Accenture

Advises businesses and runs their technology

GenAI/Agentic Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 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 large language model APIs, including Azure OpenAI, Anthropic Claude, or equivalent services.
  • Practical knowledge of retrieval-augmented generation 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.
  • Ability to collaborate effectively with architects, engineers, product teams, and business stakeholders.
  • Fluency in Portuguese and English at B1 level.

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 large-language-model-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 retrieval-augmented-generation 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.

Desired Qualifications

  • Experience with Azure AI Foundry, Azure AI Search, or Azure Functions.
  • Knowledge of MCP (Model Context Protocol) and tool integration standards.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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