Ai / Generative Ai Engineer
Indexed description
We enable companies to meet the chalenges of digital world by providing our clients with business models that ensure technological capacity, flexibility and agility.
We are more than 500 consultants with offices in Lisbon, Porto and Madrid.DECSKILL operates in 3 main areas:DECSKILL TALENT, through which we provide our clients with an extension to their IT teams;
DECSKILL BOOST, through which we provide our client with software development models to increase capacity and optimize Time-to-Market, where we create and manage teams that deliver according to their needs, at the desired speed;
DECSKILL CONNECT throughwhich we provide our client with consulting services, as well as the implementation and management of information technology infrastructures.Our practice results in the creation of value for our customers, either by delivering qualified and value-added services, or through highly qualified and motivated professionals, as well as technology solutions that allow us to operate and transform the business of our customers.We are searching for a
GEN AI ENGINEER SENIOR!!
!Responsibilities & Requirements
Proven experience in Machine Learning, Generative AI, or related areas;
Experience in datamodeling and AI pipeline development;
Proficiency in cloud solutions (Azure, AWS, Google Cloud);
Ability to collaborate on global projects and work in distributed teams.Required skill set
Programming: Strong proficiency in Python and experience with relevant libraries.Generative AI & LLMs:Deep understanding of Retrieval Augmented Generation (RAG) architecture and principles.Hands-on experience with LLM orchestration frameworks, specifically LangChain and LangGraph.Development of backup API using FastAPIKnowledge of Guardrails for content security and LangFuse for observability, evaluation, and feedback.Proven experience developing and deploying applications on AzureAzure Functions and Logic Apps: Experience building serverless applications.Azure OpenAI Service: Experience with deployment and use of models such as GPT-4 and text embedding models.Azure AI Search / AI Foundry: Knowledge of creating and managing vector stores for similarity research.Data Factory and Databricks for ingestion pipelines.Azure Blob Storage: Familiarity with cloud storage solutions.DevOps & MLOps:Proficiency with Docker for containerizing applications, Azure Container Registry as a plus.Experience deploying applications to multiple environments (e.G., dev, production) on Azure.Familiarity with CI/CD principles and scripting for automation, namely GitHub Actions.Knowledge of AI foundations in creating Copilots with GenAI capabilities (Microsoft Copilot Studio Framework).
Key skills include:Creating pluggable grounding: configuring how Copilot fetches external data.Configuring Retrieval Augmented Generation (RAG).
Working with Azure OpenAI, Azure Cognitive Search, and vector search.Implementing plugins, external functions, and API integrations.Power Automate: building workflows triggered by Copilot interactions.API and External Services Integration.Defining and optimizing generative AI models for different business scenarios;
Training and validating GenAI models, ensuring their good performance;
Implementing GenAIsolutions on cloud platforms, ensuring their efficiency;
Contributing to the continuous improvement of analytical processes through GenAI integration.Autonomous development of GenAI-based applications (Microsoft stack: OpenAI, AI).
Search)Autonomous development of Copilot (Microsoft) solutions (desirable)If you're interested in this job, please send your CV in to ****** with reference "CM/GEN AI ENGINEER INTERMEDIATE
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