AI Engineer, Production AI Systems
Location: Remote - Brazil
Department: Engineering
Location Type: REMOTE
Employment Type: FULL_TIME
Position Overview
Key Responsibilities
AI and ML Development
- Design, build, and deploy machine learning and generative AI models for custom use cases
- Fine tune and optimize large language models such as GPT and BERT using frameworks like Hugging Face Transformers
- Conduct ongoing research to stay ahead of advancements in AI, including LLMs and generative AI
- Develop data pipelines for preprocessing, feature engineering, and model training
- Test, validate, and monitor model performance in real world scenarios, iterating for reliability and accuracy
- Ensure robustness, reliability, and security of AI systems through testing, validation, and adherence to best practices
- Collaborate with cross functional teams to embed AI into products, platforms, and services
- Mentor junior engineers and contribute to technical leadership
Automation and Agentic Systems
- Design, implement, and maintain automation workflows using tools such as LangChain, LangGraph, LangSmith, LangFuse, n8n, ElevenLabs, and CMS integrations
- Engineer system to system integrations using APIs to enable intelligent process automation
- Apply prompt and context engineering techniques to improve the performance of conversational AI tools
- Implement prompt management and QA processes for agents and assistants
- Implement quality checks, monitoring, and guardrails for agentic systems to ensure consistent and secure performance
- Explore and deploy Microsoft Copilot Studio, PowerApps, and Power Automate solutions, preferred but not required
- Continuously evaluate emerging AI and automation tools and assess their applicability in client use cases
- Collaborate with clients and internal teams to scope, deliver, and maintain solutions aligned with business goals
Qualifications
Required
- 2 or more years of hands on experience in AI or ML development, including training and deploying models in production
- Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, Scikit learn, and Hugging Face Transformers
- Experience working with AI tools such as LangChain, OpenAI, or Stable Diffusion
- Practical experience with automation platforms and AI agent builders
- Strong understanding of machine learning algorithms, neural networks, and NLP concepts
- Experience working with REST APIs for integrations
- Familiarity with cloud based AI and ML platforms
- Strong analytical skills and ability to translate business problems into technical AI solutions
Preferred / Nice to Have
- Experience working with agentic AI frameworks, voice automation, and prompt tuning systems
- Exposure to MLOps practices such as model versioning, CI CD, and monitoring
- Knowledge of reinforcement learning, GANs, or edge AI deployments
- Familiarity with distributed computing frameworks such as Spark or Ray
- Background in AI agency workflows or client facing solution delivery
- Strong awareness of software quality practices, including testing strategies, validation frameworks, and reliability monitoring
- Familiarity with security best practices in AI and software systems, including data protection, API security, and safe deployment of AI models
- Experience contributing to QA processes, test automation, or security reviews in production environments
Work Environment and Benefits
- Competitive salary and performance based incentives
- Remote first work environment
- Collaborative and innovation driven culture
- Opportunity to work at the forefront of AI innovation across industries
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