Senior AI Engineer

Job not on LinkedIn

🕒 March 18

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 42%

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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MTP Brasil

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

MTP Brasil is a multinational Spanish company with 17 years of expertise and reference in software quality services. It has software testing factories with ISO 9001 certifications and TMMi Level 5, becoming the first company in the world to achieve the latter in 2013. The factories achieve a testing capacity of 1,000,000 hours per year. MTP Brasil develops various solutions, notably OMNIATEST, a methodology based on parameters defined by ISTQB and certified at TMMi Level 5. OMNIATEST encompasses the complete software quality testing process, from requirements review to production testing. The company serves various sectors, primarily in Telecommunications, Banking, Insurance, Utilities, and Public Administration, leveraging its expertise in Requirements Engineering, Software Test Management methodologies, System Verification and Validation, and Process Improvement.

📋 Description

• The AI Engineer will play a key role in designing, developing, and deploying generative artificial intelligence solutions for real business applications. • The position focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into production systems, and collaborating with cross-functional teams to deliver end-to-end AI products. • The professional will also contribute to responsible AI practices and to the continuous advancement of the organization's AI capabilities. • Design, build, and optimize RAG pipelines, including ingestion, chunking, embeddings generation, and data retrieval. • Integrate and orchestrate LLMs using frameworks such as LangChain and LlamaIndex. • Develop and manage vector database infrastructures, such as Pinecone, ChromaDB, FAISS, pgvector, or Weaviate. • Build evaluation frameworks to measure model accuracy, latency, groundedness, and cost. • Apply prompt engineering techniques to reduce hallucinations and improve response quality. • Develop agentic AI solutions with robust control mechanisms (guardrails), either from scratch or using existing frameworks. • Collaborate with Data Engineers and Full Stack Developers to deliver end-to-end AI applications. • Stay up to date with advances in generative AI, recommending new tools, techniques, and best practices. • Support responsible AI practices, including bias detection, safe handling of outputs, and considerations around PII (personally identifiable information).

🎯 Requirements

• Strong proficiency in Python and SQL — 4+ years of experience. • Solid knowledge of Data Science and Machine Learning, combined with application development skills — 4+ years of experience. • Hands-on experience building end-to-end RAG pipelines — 4+ years of experience. • Experience with LLMs, embedding models, and Transformer architectures — 4+ years of experience. • Experience with cloud platforms (Azure, AWS, GCP) — 3+ years of experience. • Familiarity with LLM orchestration tools such as LangChain, LlamaIndex, OpenAI Agents SDK, Semantic Kernel SDK, or Pydantic AI SDK. • Ability to develop production-quality code in Python and JavaScript.

🏖️ Benefits

• Health insurance • Dental insurance • Meal voucher • Transportation allowance • Culture voucher • Education voucher • Life insurance • Mental health and wellness program • Childcare assistance • Partner discounts