AI Engineer (Python, Machine Learning, Generative AI/LLMs)

Modus-create
Brazil
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Collaboration","Maintainability","Scalability","Testing","Code quality"]

Design, build, and deploy intelligent AI solutions across the AI/ML lifecycle, from experimentation and model development through production deployment. Collaborate with engineering, product, and data teams to convert complex business problems into scalable, responsible AI-powered products using ML, deep learning, and LLM technologies. Work with RAG pipelines, vector-based retrieval, and AI/ML API integrations while applying MLOps practices such as versioning, monitoring, and CI/CD.

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FursaFursa
Modus-create
Modus-create
17 hours ago

AI Engineer (Python, Machine Learning, Generative AI/LLMs)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design, build, and deploy intelligent AI solutions across the AI/ML lifecycle, from experimentation and model development through production deployment. Collaborate with engineering, product, and data teams to convert complex business problems into scalable, responsible AI-powered products using ML, deep learning, and LLM technologies. Work with RAG pipelines, vector-based retrieval, and AI/ML API integrations while applying MLOps practices such as versioning, monitoring, and CI/CD.
Location: Brazil
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and deploy intelligent AI solutions using modern machine learning, deep learning, and generative AI technologies.
  • •Work across the AI/ML lifecycle, including experimentation, model development, and production integration.
  • •Build and implement retrieval-augmented generation (RAG) pipelines and vector-based retrieval systems.
  • •Integrate AI/ML APIs, foundation models, and third-party AI services into applications.
  • •Apply MLOps practices including versioning, monitoring, CI/CD, and production ML workflows.

Key Requirements

  • •Strong proficiency in Python and experience building production-ready AI/ML applications and services.
  • •Solid experience with machine learning, including model development, evaluation, optimization, and implementation.
  • •Hands-on experience building applications with generative AI and large language models (LLMs).
  • •Practical experience with PyTorch and/or TensorFlow, plus deep learning concepts and modern model architectures.
  • •Experience with NLP and RAG, including building retrieval pipelines and working with vector-based retrieval.
Skills:CollaborationMaintainabilityScalabilityTestingCode quality
Languages:English
Tech Stack:PythonMachine LearningDeep LearningGenerative AILLMsPyTorchTensorFlowNatural Language Processing (NLP)RAGVector-based retrievalVector databasesEmbeddingsSemantic searchMLOpsCI/CDNeural networksCI/CD pipelines

Company Brief

Modus-create
Digital transformation consultancy delivering product design, cloud-native engineering, DevOps, and organizational change services to help enterprises build and scale modern digital products and platforms.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Raleigh, United States
Founded: 2007
WebsiteLinkedIn