GenAI Agentic Engineer: Build AI Agents for SDLC

Accenture; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Accenture Technology is seeking a GenAI / Agentic Engineer to develop, test, deploy and continuously improve Generative AI agents for SDLC and business processes. You will work hands-on with Python, agent frameworks, prompt engineering, LLM APIs, and enterprise integrations.

Location is Lisbon or Porto with a hybrid working model. Strong collaboration with architects, engineers, product teams, and business stakeholders is expected.

Qualifications

• Professional experience developing solutions with Python.
• Strong software engineering practices: clean code, modular design, testing, and version control.
• Hands-on experience with agent development frameworks such as LangChain, LangGraph, Semantic Kernel.
• 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 (Git, Jira, Confluence, MS 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.

Skills

Python

Clean code

Modular design

Testing

Version control

LangChain

LangGraph

Semantic Kernel

Azure OpenAI

Anthropic Claude

RAG concepts

Chunking

Embeddings

Semantic search

Vector indexing

REST APIs

Git

Jira

Confluence

Microsoft Teams

Prompt engineering

Context management

Docker

CI/CD

GitHub Actions

Azure DevOps

Prototype to production

Analytical thinking

Troubleshooting

Communication

Cross-functional collaboration

Portuguese

English B1

Tools

LangChain

LangGraph

Semantic Kernel

Azure OpenAI

Job description

Accenture Technology is seeking a GenAI / Agentic Engineer to develop, test, deploy and continuously improve Generative AI agents for SDLC and business processes. You will work hands-on with Python, agent frameworks, prompt engineering, LLM APIs, and enterprise integrations.

Location is Lisbon or Porto with a hybrid working model. Strong collaboration with architects, engineers, product teams, and business stakeholders is expected.