Staff Software Engineer | AI-First
New
J
JobgetherAI, Software Engineering
BrazilFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- DockerPythonCloud ComputingKubernetesMachine LearningPyTorchTensorflowGenerative AI
Requirements
- Extensive experience building and deploying AI/ML solutions in production environments.
- Strong expertise in generative AI, including fine-tuning, Retrieval-Augmented Generation (RAG), LLM evaluation, and advanced prompt engineering.
- Experience integrating foundation models and designing AI pipelines.
- Advanced Python programming skills focused on production systems.
- Strong knowledge of machine learning fundamentals, including deep learning, statistics, optimization, and model evaluation.
- Experience with deep learning frameworks such as PyTorch and/or TensorFlow.
- Knowledge of cloud environments such as AWS or GCP for AI/ML workloads.
- Experience with ML production pipelines and tools such as MLflow, Kubeflow, or Airflow.
- Experience with model serving, Docker, Kubernetes, and production monitoring/observability.
- Strong ability to define architecture, evaluate trade-offs, and make high-impact technical decisions.
- Excellent communication skills, with the ability to influence technical and non-technical stakeholders.
- Experience mentoring engineers and supporting technical growth within teams.
Responsibilities
- Contribute to the AI product vision and roadmap by providing technical guidance and identifying opportunities for innovation.
- Architect and lead the development of AI systems in production, from proof of concept through scalable deployment.
- Evaluate technical approaches, including build vs. buy vs. fine-tune decisions for AI models and solutions.
- Integrate large language models (LLMs), foundation models, and generative AI capabilities into products.
- Define engineering standards, best practices, and AI development processes across teams.
- Collaborate with product managers, designers, and software engineers to embed AI capabilities into user-facing solutions.
- Mentor engineers by sharing knowledge, improving technical skills, and promoting AI engineering excellence.
- Research and evaluate emerging technologies, including LLMs, multimodal models, and advanced AI approaches.
- Lead initiatives related to AI governance, model evaluation, quality monitoring, bias reduction, and responsible AI practices.
- Participate in technical hiring processes and contribute to building high-performing engineering teams.
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