AI Development Specialist – Generative AI

Job not on LinkedIn

🔥 30 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Internas

WebsiteLinkedInAll Job Openings

- employees

📦 Logistics

🍽️ Food & Beverage

💼 Consulting

Logistics • Food & Beverage • Consulting

Internas is a Polish wholesaler and retailer of gardening and outdoor-living products, offering a catalogue of about 15,000 items including seeds, bulbs, seedlings, shrubs and trees, soils, fertilizers, plant protection products, gardening tools, irrigation equipment, and seasonal goods. Operating for 25 years, Internas serves both retail customers through brick-and-mortar stores and online shops and business customers via wholesale distribution from its central warehouse and an additional market branch, offering professional buying support, its own delivery fleet, and fast logistics.

📋 Description

• Design and develop solutions using LLMs and Generative AI • Build AI-based applications, services, and platforms • Develop and evolve AI agents and multi-agent systems • Design architectures using RAG (Retrieval-Augmented Generation) • Build ingestion, processing, chunking, embeddings, and information retrieval pipelines • Integrate AI models with APIs, applications, data, and enterprise systems • Design orchestration mechanisms for models, tools, and agents • Develop prompt engineering and context engineering strategies • Implement mechanisms to evaluate response quality and model behavior • Create guardrails and controls for the safe use of AI • Implement observability and monitoring for solutions • Evaluate models, frameworks, and technologies considering quality, performance, cost, and security • Optimize latency, token consumption, and solution costs • Participate in architectural decisions and define technical standards • Provide technical support to engineers and promote AI Engineering best practices • Contribute to the evolution of the organization's AI strategy and architecture • Work on the design, construction, and evolution of AI and Generative AI solutions at scale in production environments • Convert AI use cases into robust, secure, observable, and scalable products and capabilities • Deploy AI solutions effectively to production beyond experimentation and POCs

🎯 Requirements

• Hands-on experience with Large Language Models (LLMs) • Hands-on experience with Prompt Engineering • Hands-on experience with Context Engineering • Hands-on experience with RAG • Hands-on experience with Embeddings • Hands-on experience with Vector Search • Hands-on experience with Function Calling / Tool Calling • Hands-on experience with Structured Outputs • Hands-on experience with AI agents • Hands-on experience with agent orchestration • Hands-on experience with model and response evaluation • Hands-on experience with Guardrails • Hands-on experience with context and memory management • Experience with model ecosystems such as OpenAI, Anthropic, Gemini, Llama, or equivalents

🏖️ Benefits

• Culture focused on excellence and innovation • Collaborative work environment • Support for continuous growth and professional development