Sierra

Senior AI Engineer

Sierra

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Salary

💰 $120,000 - $150,000 per year

Job Level

Senior

Tech Stack

AWSAzureGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

  • Architect, build, and deploy LLM-powered applications that augment and automate key workflows — from customer service and new product development to internal agentic workflows that optimize critical company processes.
  • Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
  • Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.
  • Identify areas where AI can generate efficiency gains — reducing manual work, optimizing processes, and enabling smarter operations.
  • Build AI systems that enable scaling without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.
  • Lead fine-tuning and contextual optimization of AI models using proprietary data.
  • Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.
  • Ensure adherence to privacy, compliance, and ethical AI principles in all model development.
  • Work closely with data, product, and infrastructure teams to define the long-term AI roadmap.
  • Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.
  • Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

Requirements

  • 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.
  • Strong engineering and product mindset — capable of balancing technical depth with strategic impact.
  • Exceptional communication and collaboration skills to work across product, engineering, and data functions.
  • Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.
  • LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar — including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.
  • AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.
  • Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.
  • Programming & Frameworks: Proficiency in Python, GO and AI/ML libraries such as PyTorch, TensorFlow, or JAX.
  • AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.
  • Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.
  • API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.
  • Proficiency with ML flow and LangChain.
  • Good understanding of traceability tools.
  • Extended backend experience is required.
  • Minimum 2 years tenure in current company.
  • Very good English communication skills (non-negotiable).
  • Preferred Qualifications: Experience using LlamaIndex, Hugging Face, or similar open-source frameworks. Strong understanding of context optimization, embedding strategies, and knowledge retrieval. Familiarity with MLOps, CI/CD pipelines, and production deployment best practices. Prior experience in fintech, payments, or other data-intensive and regulated industries. Analytical rigor and ability to translate business objectives into measurable AI outcomes. Portuguese language skills.
Benefits
  • Remote work - You can work from everywhere!
  • Home Office Bonus - One time allowance to help you create your ideal home office.
  • Work equipment
  • Stock options
  • Health Plan - Private medical insurance for you, your spouse, and your kids
  • Flexible Days off
  • Language, Professional and Personal growth courses
  • For Brazil CLT hires: Additional benefits including groceries and other items

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML developmentLLMsRAGsupervised fine-tuningPythonGOPyTorchTensorFlowAWSGCP
Soft skills
communicationcollaborationengineering mindsetproduct mindsetpassion for AIanalytical rigorability to translate business objectivescontinuous learningexperimentationstrategic impact