AI Engineer

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🕒 Junho 26

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Particle41

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

A Particle41 é uma empresa especializada em fornecer expertise e soluções em desenvolvimento de tecnologia, ciência de dados e DevOps. Eles oferecem serviços de consultoria de CTO, atuando como parceiro para fortalecer estratégias tecnológicas e entregar soluções de software robustas adaptadas às necessidades de seus clientes. A Particle41 enfatiza a modernização das operações utilizando arquitetura em nuvem, integração de sistemas de software e aproveitamento de inteligência artificial para fornecer produtos digitais inovadores. Eles trabalham em estreita colaboração com as empresas para garantir a entrega pontual dos projetos, escalabilidade e manutenção da segurança dos dados. A Particle41 tem um foco especial em ajudar as empresas a melhorar sua vantagem competitiva por meio de soluções tecnológicas estratégicas e suporte contínuo.

Descrição

• Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. • Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. • Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. • Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). • Optimize models/solutions for performance, scalability, robustness and cost-efficiency. • Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. • Document model design, experiments, data provenance and solution rationale. • Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

🎯 Requisitos

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. • 3+ years of hands-on experience in AI/ML model development and deployment. • Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). • Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. • Experience building or fine-tuning Large Language Models (LLMs). • Experience deploying models into production: building REST APIs, microservices and monitoring. • Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc. • Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI. • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker). • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models). • Ability to work in a fast-paced, dynamic environment and adapt to changing priorities. • Publications, open-source contributions, or personal projects in the AI/ML domain