AI Engineer ID34949

Há 5 dias

Sorocaba, São Paulo, Brasil AgileEngine Tempo inteiro
Overview

Join to apply for the AI Engineer ID34949 ($3,000 signing bonus) role at AgileEngine .

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and startups across 17+ industries, with a people-first culture and multiple Best Place to Work awards.

Why join us : If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you.

About the role : We're seeking a deeply technical and product-minded Senior AI Engineer to design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management. You'll collaborate with product, engineering, and data infrastructure teams to develop intelligent systems powered by LLMs and ML. If you thrive in fast-moving environments and love turning unstructured data into scalable, high-impact tools, this role is for you.

What you will do
  • Design and deploy end-to-end agentic pipelines for structured and unstructured energy data
  • Build and fine-tune LLM applications using RAG, vector databases, and knowledge graphs
  • Develop models for contract intelligence, price forecasting, and energy portfolio optimization
  • Deliver scalable APIs and AI services using FastAPI, Flask, or similar frameworks
  • Integrate with cloud-native platforms (AWS, GCP) and modern data infrastructure
  • Mentor peers and contribute to best practices in applied AI and ML engineering
Must Haves
  • 7+ years of professional software development experience
  • 5+ years deploying machine learning systems in production
  • 3+ years building with LLMs, both locally-hosted and API-based (OpenAI, Gemini, etc.)
  • Expertise in Python and libraries like PyTorch, TensorFlow, and Hugging Face
  • Hands-on experience with agentic pipelines, RAG, vector search, and prompt engineering
  • Deep familiarity with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes
  • Experience designing scalable microservices and REST APIs for AI inference workflows
  • Excellent verbal and written communication — ability to present to the C-suite
  • Systems-level thinking with a product mindset
  • Upper-Intermediate English level
NICE TO HAVES
  • Experience in an early-stage startup environment
  • Experience in energy, sustainability, or infrastructure tech
  • A commitment to ethical, socially responsible AI
  • Online thought-leadership, contributions to open-source AI/ML projects and research
The Benefits of Joining Us
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps
  • Competitive compensation: USD-based compensation with budgets for education, fitness, and team activities
  • A selection of exciting projects: Projects with Fortune 500 enterprises and leading product brands
  • Flextime: Flexible scheduling including remote and office options

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

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