Generative AI Engineer for SDLC & Autonomous Agents

Caixa Mágica Software; Lisboa; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Tech equipment

Health and Life Insurance

Social events and team buildings

Training in latest technologies

Coffee, fruits and snacks

Resumo da oferta

Caixa Mágica Software is seeking an AI Engineer to join a project focused on designing, developing, and evolving Generative AI solutions, with emphasis on autonomous and multi-agent systems to support the SDLC. You will design AI agents for SDLC stages, define LLM-based architectures, promote best practices, and monitor market developments.

The role requires strong experience with LLMs, prompting, RAG, fine-tuning, cost control, and cloud expertise (GCP) with LangChain, LangGraph, Semantic

Qualificações

• Experience with Large Language Models and AI agents for SDLC support.
• Ability to optimize token consumption and control costs in Generative AI solutions.
• Knowledge of cloud platforms (GCP) and enterprise AI deployment.

Responsabilidades

• Design, develop, and evolve AI agents to support SDLC stages such as analysis, development, testing, documentation, code review, and operations.
• Define agent architectures based on LLMs and AI frameworks, and measure adoption, productivity, and ROI.
• Promote best-practices in Generative AI across technical teams and create guides and enablement materials.

Conhecimentos

LLMs architecture

prompting

RAG

fine-tuning

model evaluation

cost optimization

cloud computing

GCP

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

CI/CD

DevSecOps

AI governance

Ferramentas

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Descrição da oferta de emprego

Caixa Mágica Software is seeking an AI Engineer to join a project focused on designing, developing, and evolving Generative AI solutions, with emphasis on autonomous and multi-agent systems to support the SDLC. You will design AI agents for SDLC stages, define LLM-based architectures, promote best practices, and monitor market developments.

The role requires strong experience with LLMs, prompting, RAG, fine-tuning, cost control, and cloud expertise (GCP) with LangChain, LangGraph, Semantic