AI Engineer

Planck Technologies; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Job summary

Planck Technologies is seeking an experienced AI/ML engineer to design, develop, and deploy scalable Generative AI applications. You will build AI Agents, Copilots, and RAG pipelines, and integrate AI capabilities with enterprise systems and APIs.

Lead the implementation of prompt engineering, evaluation, monitoring, and production readiness on Azure AI services. Collaborate with cross-functional teams to translate business needs into AI solutions and stay current with evolving AI tech.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
• 3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering
• Experience building and deploying AI solutions in production environments
• Hands-on experience with Generative AI, LLMs, AI Agents, or RAG solutions
• Experience working in cloud environments, preferably Azure
• Strong programming skills in Python.
• Experience with SQL and working with enterprise data sources.
• Hands-on experience building AI-powered applications using Large Language Models (LLMs).
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of AI Agents, orchestration frameworks, and tool-calling patterns.
• Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, or similar AI platforms.
• Experience integrating AI solutions with APIs and enterprise systems.
• Understanding of prompt engineering, evaluation, monitoring, and optimization of LLM-based solutions.
• Experience deploying and operating AI solutions in production environments.
• Knowledge of software engineering best practices, testing, CI/CD, and version control.
• Ability to collaborate with technical and business stakeholders to translate requirements into AI solutions.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy scalable AI applications using Generative AI technologies.
• Build and optimize AI Agents, Copilots, and intelligent automation solutions.
• Develop and maintain RAG pipelines, knowledge retrieval systems, and enterprise AI assistants.
• Integrate AI capabilities with business applications, APIs, and enterprise platforms.
• Work with Azure AI Services, Azure OpenAI, and Azure AI Foundry to deliver production-ready AI solutions.
• Implement prompt engineering, evaluation frameworks, and monitoring capabilities for AI applications.
• Ensure reliability, scalability, security, and performance of AI solutions.
• Collaborate with cross-functional teams to understand business needs and identify AI opportunities.
• Contribute to architecture decisions and AI best practices across the organization.
• Support the continuous improvement of AI platforms, frameworks, and development processes.
• Stay up to date with emerging AI technologies, frameworks, and industry trends.

Skills

Python

SQL

LLMs

RAG

AI Agents

Azure AI/OpenAI

APIs & Integrations

Prompt Engineering

Production AI Deployment

DevOps & CI/CD

Stakeholder Collaboration

Communication Skills

Education

Bachelor's or Master's in CS/Software/Data/AI

Tools

LangChain

LangGraph

Semantic Kernel

Docker

MLOps

Microsoft 365

Snowflake

Azure Certification

Job description

Education:

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.

3+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering

Experience building and deploying AI solutions in production environments

Hands-on experience with Generative AI, LLMs, AI Agents, or RAG solutions

Experience working in cloud environments, preferably Azure

Key Requirements

• Strong programming skills in Python.
• Experience with SQL and working with enterprise data sources.
• Hands-on experience building AI-powered applications using Large Language Models (LLMs).
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Knowledge of AI Agents, orchestration frameworks, and tool-calling patterns.
• Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, or similar AI platforms.
• Experience integrating AI solutions with APIs and enterprise systems.
• Understanding of prompt engineering, evaluation, monitoring, and optimization of LLM-based solutions.
• Experience deploying and operating AI solutions in production environments.
• Knowledge of software engineering best practices, testing, CI/CD, and version control.
• Ability to collaborate with technical and business stakeholders to translate requirements into AI solutions.
• Strong problem-solving and communication skills.

Nice to Have

• Experience with LangChain, LangGraph, Semantic Kernel, or similar orchestration frameworks.
• Knowledge of Model Context Protocol (MCP).
• Experience with vector databases and semantic search solutions.
• Experience with Docker and containerized deployments.
• Knowledge of MLOps and AI observability tools.
• Experience with enterprise productivity ecosystems such as Microsoft 365.
• Experience with Snowflake or modern data platforms.
• Azure certifications related to AI or Cloud technologies.

Responsibilities

• Design, develop, and deploy scalable AI applications using Generative AI technologies.
• Build and optimize AI Agents, Copilots, and intelligent automation solutions.
• Develop and maintain RAG pipelines, knowledge retrieval systems, and enterprise AI assistants.
• Integrate AI capabilities with business applications, APIs, and enterprise platforms.
• Work with Azure AI Services, Azure OpenAI, and Azure AI Foundry to deliver production-ready AI solutions.
• Implement prompt engineering, evaluation frameworks, and monitoring capabilities for AI applications.
• Ensure reliability, scalability, security, and performance of AI solutions.
• Collaborate with cross-functional teams to understand business needs and identify AI opportunities.
• Contribute to architecture decisions and AI best practices across the organization.
• Support the continuous improvement of AI platforms, frameworks, and development processes.
• Stay up to date with emerging AI technologies, frameworks, and industry trends.

Join an international AI team driving the adoption of Generative AI across the business, building enterprise-grade AI assistants, agents, and intelligent solutions that create real business impact.