At Kiwibot, we automate businesses to achieve peak efficiency and productivity, freeing human time for higher-level tasks. We believe that the future will be powered by clean and effective technological solutions, and we are committed to providing low—or no-cost delivery services to everyone. We are a dynamic, fast-paced organization that values collaboration, creativity, and innovation. We are excited to welcome the next generation of tech talent to our team.

The ideal candidate for this position is innovative, detail-oriented, and highly collaborative, with a passion for cutting-edge AI technologies. You thrive in a fast-paced environment, have strong problem-solving skills, and are comfortable working on complex projects involving computer vision and LLMs. You should be results-driven, eager to explore new solutions, and capable of adapting to evolving challenges critical to the success of Kiwibot’s AI-driven initiatives. Experience integrating AI models into scalable systems and working in cross-functional teams is a strong plus.

Location: Latam, Remote Friendly

Career Path: Vision AI and LLM Engineer > Senior AI Engineer > AI Team Lead > AI Manager

As a Vision AI and LLM Engineer a typical day might include the following:

• Activities

  • Design, train, and deploy computer vision models for tasks such as object detection, recognition, and tracking.

  • Fine-tune and integrate large language models (LLMs) to enhance natural language understanding and interaction.

  • Build pipelines for data collection, preprocessing, and annotation for vision and language datasets.

  • Develop and optimize APIs to integrate AI models with other platforms and systems.

  • Conduct field tests to validate model performance in real-world scenarios.

  • Create robust systems for model monitoring, retraining, and maintenance.

  • Ensure AI models are optimized for low-latency, high-accuracy performance.

  • Collaborate with backend engineers to implement scalable solutions for real-time AI inference.

  • Research and prototype new AI techniques and technologies to maintain a competitive edge.

  • Write and maintain technical documentation, including model architectures and deployment strategies.

• Processes

  • Apply version control for AI models and pipelines to manage changes effectively.

  • Implement CI/CD workflows for model updates and deployments.

  • Collaborate with cross-functional teams to align AI solutions with business objectives.

  • Perform error analysis to identify and address model weaknesses.

  • Conduct regular code reviews and model evaluations to ensure high-quality deliverables.

• Results

  • Deliver high-performing computer vision models with precision rates above predefined benchmarks.

  • Achieve seamless integration of LLM-driven features into applications, improving user interactions.

  • Reduce operational inefficiencies by automating AI-powered solutions.

  • Create scalable and maintainable AI pipelines that meet production standards.

  • Contribute to the organization’s innovation by releasing AI-powered products that drive measurable business impact.

This job might be the right one for you if you have:

• 3+ years of experience in AI/ML, with a focus on computer vision or LLMs.

• Ph.D. in AI, Machine Learning, or related fields.

• Experience deploying AI models on edge devices like NVIDIA Jetson.

• Familiarity with autonomous robots or IoT device integration.

• Proficiency in C++ or other performance-critical languages.

• Knowledge of real-time streaming technologies like Kafka.

• Certification in data engineering or cloud platforms.

• Leadership experience: mentoring or leading small AI teams.

• Strategic mindset: aligning AI solutions with business objectives.

• Experience with reinforcement learning or GANs.

• Experience and Education

  • 2+ years of experience in developing and deploying computer vision models (e.g., object detection, classification, or segmentation).

  • 1+ years of experience working with large language models (LLMs) for natural language processing tasks.

  • Proven track record of deploying AI models in production environments.

  • Proficiency in computer vision frameworks like TensorFlow, PyTorch, or OpenCV.

  • Hands-on experience fine-tuning and deploying LLMs (e.g., GPT, BERT, Hugging Face Transformers).

  • Strong programming skills in Python; familiarity with libraries like NumPy, Pandas, and Scikit-learn.

  • Experience with backend development, particularly in building APIs using Django, Flask, or FastAPI.

  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure for AI deployments.

  • Familiarity with containerization tools (e.g., Docker, Kubernetes) for scalable deployments.

  • Understanding of data pipelines and tools for data preprocessing, such as Apache Airflow or similar.

  • Experience with real-time streaming frameworks like Kafka (nice to have).
    
    

• Certifications (Preferred but Not Required):

  • Certifications in AI/ML (e.g., AWS Certified Machine Learning – Specialty, TensorFlow Developer Certificate).

  • Relevant credentials in backend development or cloud solutions (e.g., AWS Certified Solutions Architect).

• Soft Skills

  • Strong problem-solving abilities with a creative and innovative mindset.

  • Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders.

  • Collaboration skills to work effectively in cross-functional teams.

  • Attention to detail for ensuring high-quality and accurate AI solutions.

  • Adaptability to work in a fast-paced and dynamic environment.

  • Results-driven approach, with a focus on meeting deadlines and delivering impactful solutions.

Kiwibot’s Culture & Values:

At Kiwibot, we believe in creating a dynamic and inclusive work environment that fosters diversity, collaboration, and innovation, while embodying our core values of Being Agile, Acting Resourceful, Thinking Disruptive, Creating Happiness, and Loving through service. We approach challenges with resourcefulness, always considering what is important and urgent, and quickly making decisions to address new situations. We use our creativity and ingenuity to disrupt the status quo and make the ordinary extraordinary, fostering a dynamic and joyful work environment that encourages engagement and creativity. Our actions are guided by our commitment to serving everyone with care, kindness, and fairness, constantly seeking to improve the ways in which we operate.

What we offer you:

• Opportunity to join a fast-growing startup and help shape and establish the company’s industry leadership in robotic last-mile delivery.

• Competitive compensation package.

• Being part of one of the top Tech Start-Ups in Latin America that is operating in the US market.

• Learn the best practices and methods that are useful in the startup world.