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Senior AI Engineer

Elios Talent

Teletrabalho

BRL 440.000 - 662.000

Tempo integral

Ontem
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Resumo da oferta

A high-growth technology organization seeks a Senior AI Engineer to architect and optimize machine learning systems. This role involves building and deploying LLM-based systems while collaborating with product and engineering teams to deliver reliable AI features. Candidates must have strong software engineering fundamentals, experience with LLMs, and the ability to handle complex data pipelines. Join a mission-driven team to help shape the future of applied AI and work in a modern, collaborative environment.

Qualificações

  • Experience with LLMs, model fine-tuning, embeddings, RAG, or compute-aware optimization.
  • Comfortable in a hands-on role for solving hard problems.
  • Familiarity with technologies like Go, Rust, or Typescript is a plus.

Responsabilidades

  • Build, fine-tune, and deploy large-scale machine learning systems.
  • Collaborate with product and engineering teams to ship AI features.
  • Design high-performance data processing pipelines.

Conhecimentos

Strong software engineering fundamentals (Python)
Deep experience with LLMs
Experience building scalable ML or distributed systems in a cloud environment
Ability to translate ambiguous technical problems into structured solutions
Curiosity and product mindset

Ferramentas

Vector databases
Orchestration frameworks
Inference optimization
Descrição da oferta de emprego

🌟 Senior AI Engineer 🌟

💼 Full-Time | Remote

🤖 Applied AI | LLMs | Agentic Systems | Scalable ML Infrastructure

Company Information

A high-growth technology organization building next-generation AI solutions that enable teams to work faster, smarter, and more efficiently. The company blends strong engineering fundamentals with a product-driven mindset, focusing on models, tools, and intelligent workflows that deliver measurable business impact.

You’ll join a collaborative environment where experimentation, rigorous engineering, and thoughtful design power the roadmap. The team moves quickly, values autonomy, and invests heavily in modern infrastructure to support advanced research, development, and deployment.

Job Information

The company is looking for a Senior AI Engineer who can architect, build, and optimize production-grade machine learning systems. Someone who understands the full lifecycle—from research and prototyping to scalable deployment—and is comfortable working with LLMs, multi-agent systems, vector search, and complex data pipelines.

This is a hands-on role for an engineer who loves solving hard problems, designing elegant systems, and pushing the boundaries of applied AI.

Key Responsibilities
  • Build, fine-tune, and deploy large-scale machine learning and LLM-based systems
  • Develop agentic workflows, tool integrations, and memory architectures
  • Design high-performance pipelines for training, inference, and data processing
  • Collaborate with product, engineering, and research teams to ship reliable AI features
  • Evaluate new models, frameworks, and techniques to drive innovation
  • Implement robust testing, monitoring, and observability across ML systems
  • Optimize performance, latency, and cost across production workloads
What You Bring
  • Strong software engineering fundamentals (Python required; bonus for Go, Rust, or Typescript)
  • Deep experience with LLMs, model fine-tuning, embeddings, RAG, or compute-aware optimization
  • Experience building scalable ML or distributed systems in a cloud environment
  • Familiarity with vector databases, orchestration frameworks, and inference optimization
  • Ability to translate ambiguous technical problems into structured, well-designed solutions
  • Curiosity, ownership, and a product mindset
Bonus Points
  • Experience with agentic architectures, RL, or memory-augmented models
  • Experience building internal ML platforms or developer tools
  • Contributions to open-source AI frameworks
About Us

A mission-driven team passionate about building AI systems that are reliable, scalable, and grounded in real-world value. The culture is hands-on, transparent, highly collaborative, and focused on creating technology that enhances—not replaces—human capability.

Why Join Us

You’ll work with talented engineers and innovators, own meaningful problems end-to-end, and help shape the next generation of applied AI. Expect autonomy, a modern tech stack, fast decision-making, and the opportunity to ship work that has real impact across thousands of users.

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