AI Engineer

Porto, Porto District, Portugal

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Software DevelopmentIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 4 years of professional experience as an AI Engineer or in a similar capacity. Proficiency in Python for data processing, API integration, and AI pipeline development is essential, along with hands-on experience in graph databases, vector databases, and graph algorithms. A deep understanding of embeddings, vector search, similarity measures, prompt optimization, LLM fine-tuning, and familiarity with orchestration frameworks like LangChain are required. Experience with information extraction from documents and strong technical writing skills are also necessary.

Responsibilities

The AI Engineer will design, build, and optimize intelligent systems using LLMs, vector databases, and graph algorithms. This includes developing pipelines for knowledge extraction and organization from various document sources. The role involves working at the intersection of data engineering, AI model optimization, and software architecture to create advanced search, reasoning, and automation capabilities.

Skills

Python

LLMs

Vector Databases

Graph Databases

Graph Algorithms

Embeddings

Vector Search

Similarity Measures

Prompt Optimization

LLM Fine-tuning

LangChain

Information Extraction

Technical Writing

API Integration

Data Processing

AI Pipeline Development

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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