AI Consultant

Advancing Analytics; United States; Hybrid; USD 44,000 - 61,000; Full time

Job summary

Advancing Analytics in Portugal is seeking an experienced AI Engineer to help customers apply generative and agentic AI to complex business problems. The role covers the development lifecycle from use-case exploration to deployment with governance and ongoing operation.

You will design and deploy enterprise AI solutions, build RAG pipelines, and implement memory-enabled agents. Strong Python skills and experience with LangChain or similar frameworks are required, with a focus on responsible AI

Qualifications

• Demonstrated experience delivering generative AI and agentic AI solutions.
• Practical expertise building and evaluating production RAG systems.
• Experience with enterprise LLMs, prompts, fine-tuning and safeguards.
• Python proficiency and ability to contribute across prototyping and production deployment.
• Familiarity with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
• Knowledge of LLMOps/MLOps practices, model evaluation, monitoring and AI governance.

Responsibilities

• Design and deploy generative AI and agentic solutions for enterprise use.
• Build retrieval-augmented generation pipelines, including chunking, vector search, retrieval evaluation and optimisation.
• Develop AI agents with memory and multi-step workflows.
• Apply prompt engineering, fine-tuning, guardrails and responsible AI practices to enterprise language model applications.
• Evaluate and monitor models and workflows, and support experimentation and CI/CD for AI delivery.
• Write production-quality Python and carry solutions from prototype toward deployment.

Skills

Generative AI

Agentic AI

Python programming

RAG pipelines

Model evaluation

AI governance

Prompt engineering

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

Azure OpenAI Service

Databricks Mosaic AI

Job description

Role overview

Help customers put generative and agentic AI to work on complex business problems. The role spans the development lifecycle: exploring use cases, building language model and machine learning solutions, and taking them through deployment with attention to quality, governance and ongoing operation.

Responsibilities

• Design and deploy generative AI and agentic solutions using enterprise AI services and platforms.
• Build retrieval-augmented generation pipelines, including chunking, vector search, retrieval evaluation and optimisation.
• Develop AI agents with tool use, memory and multi-step workflows.
• Apply prompt engineering, fine-tuning, guardrails and responsible AI practices to enterprise language model applications.
• Evaluate and monitor models and workflows, and support experimentation and CI/CD for AI delivery.
• Write production-quality Python and carry solutions from prototype toward deployment.

Requirements

• Demonstrated experience delivering generative AI and agentic AI solutions.
• Practical expertise building and evaluating production RAG systems.
• Experience with enterprise LLMs, including prompts, fine-tuning and safeguards.
• Python proficiency and ability to contribute across prototyping and production deployment.
• Familiarity with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel or CrewAI.
• Knowledge of LLMOps/MLOps practices, model evaluation, monitoring and AI governance.

Nice to have

• Experience with Databricks Mosaic AI Agent Framework, Azure AI Studio, Azure OpenAI Service, Databricks Asset Bundles, GitHub Actions or Azure DevOps.

Benefits and work setup

• Salary range: €40,000–€55,000 per year, depending on experience.
• Based near Lisbon, with flexibility around office days and occasional customer or team visits.