Associate AI Software Developer

Telit Wireless Solutions
R$ 33.210 - R$ 42.052 a year
Região Metropolitana de São Paulo, São Paulo
há 4 dias

Job Summary

We are looking for an engineer to build and run AI services that mix computer vision, CNNs, large-language models with RAG, and autonomous agents. You’ll take new ideas from our research group and turn them into fast, reliable micro-services on both edge devices and the cloud, expanding what the deviceWISE AI platform can do.

Objectives & Responsibilities

  • Design and build GPU-accelerated micro-services for vision, LLM, and RAG workloads.
  • Own the full model lifecycle: data capture, training, evaluation, packaging, and CI/CD deployment (Docker, Kubernetes, NVIDIA NIM).
  • Optimize inference with TensorRT, ONNX-Runtime, quantization, batching, and Triton.
  • Develop agent orchestration logic (LangChain, CrewAI) that chains tools, prompts, and APIs.
  • Build and maintain automated visual inspection systems using computer vision models for quality control, defect detection, and anomaly identification in manufacturing and IoT environments
  • Integrate high-throughput camera or sensor feeds with cloud knowledge bases for multimodal insights.
  • Mentor junior engineers, lead code reviews, and document best practices (senior level).

Requirements & Qualifications

  • 3+ years of software development experience with strong proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow)
  • Deep understanding of machine learning concepts including:
    • Neural network architectures (CNNs, transformers, RNNs)
    • Model training, validation, and optimization techniques
    • Computer vision and natural language processing fundamentals

  • Hands-on experience with ML infrastructure tools:
    • Containerization (Docker, Kubernetes)
    • Model serving platforms (FastAPI, Flask, or equivalent)
    • GPU computing (CUDA, cuDNN) and performance optimization

  • Proficiency in building and deploying microservices architectures
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices
  • Strong foundation in software engineering principles, version control (Git), and collaborative development

Preferred Qualifications

  • Experience with edge AI deployment and optimization for resource-constrained devices
  • Familiarity with IoT protocols and time-series data processing
  • Contributions to open-source AI/ML projects or research publications
  • Experience with vector databases and embedding systems for RAG applications

Location

Remote or on site in Boca Raton, Florida or São Paulo, Brazil

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