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CODA100is seeking a talented and versatile AI Developer/Engineer to design, develop, and implement AI-driven solutions that leverage Machine Learning (ML), Large Language Models (LLMs), and Natural Language Processing (NLP). This role combines hands-on technical work with opportunities to collaborate, innovate, and create impactful solutions tailored to real-world business challenges. You will work with cutting-edge technologies like Retrieval-Augmented Generation (RAG) and modern deployment tools to deliver production-ready systems that drive meaningful change.
Project Scope:
As an AI Developer/Engineer, you will focus on building, deploying, and optimizing AI-powered solutions. Experimenting with Large Language Models, Generative AI frameworks and advanced search technologies to design and deploy scalable solutions for tasks such as text generation, summarization, conversational AI, and recommendation systems.
Delivering training sessions, workshops, or presentations to share AI insights and demonstrate solutions.
Implement Retrieval-Augmented Generation (RAG) workflows to enhance AI performance using vector databases and embeddings.
Develop robust APIs for seamless integration of AI capabilities into business workflows.
AWS, Azure) for AI solution deployment and scaling.
Design, implement, and test AI models, focusing on Machine Learning, Generative AI, and LLMs.
Build workflows leveraging Retrieval-Augmented Generation to enhance search and recommendation capabilities.
Cloud Deployment: Deploy AI applications on AWS, Azure, or similar platforms, ensuring reliability and scalability.
Lead or support training sessions, workshops, or presentations to share AI best practices and insights with teams and clients.
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; a Master’s degree is a plus.
Practical experience with Large Language Models (LLMs), Generative AI frameworks, and Machine Learning (ML) techniques.
Familiarity with Retrieval-Augmented Generation (RAG) workflows, vector databases, and embeddings.
Proven ability to plan and deliver trainings, workshops, or presentations related to AI technologies.
Technical Skills
Strong proficiency in Python for AI development.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Familiarity with prompt engineering techniques (e.g., Understanding of data pipelines and tools for data preprocessing and feature engineering.
Experience with frontend frameworks like React, Vue.js, or Angular to create user-friendly interfaces for AI solutions.
Relevant certifications such as AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or TensorFlow Developer Certificate are a plus.
Excellent communication skills to collaborate with technical and non-technical teams.
Adaptability to work in an Agile environment and handle diverse projects.
Location: Remote work
Agile collaboration in an international team
Hourly Rate: Negotiable, depending on experience.