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AI Developer

AI Developer

CODA100Taunustor 1, Frankfurt am Main, PL
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Stellenbeschreibung

CODA100  is 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. This includes :

  • 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.
  • Developing and managing APIs that connect AI capabilities with external systems.
  • Collaborating with clients and stakeholders to identify AI-driven opportunities and create tailored solutions.
  • Delivering training sessions, workshops, or presentations to share AI insights and demonstrate solutions.
  • Designing scalable AI architectures and deploying them using containerization tools like Docker and Kubernetes.

Duties

Deliverables :

  • Build, fine-tune, and deploy AI and LLM models for tasks such as text generation, summarization, and semantic search.
  • 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.
  • Use cloud platforms (e.g., AWS, Azure) for AI solution deployment and scaling.
  • Optimize and deploy containerized AI solutions with tools like Docker and Kubernetes.
  • Create presentations, documentation, and training materials to support knowledge-sharing and solution adoption.

    • Responsibilities :

  • AI Solution Development : Design, implement, and test AI models, focusing on Machine Learning, Generative AI, and LLMs.
  • RAG Integration : Build workflows leveraging Retrieval-Augmented Generation to enhance search and recommendation capabilities.
  • API Development : Develop and maintain scalable APIs for AI models to ensure easy integration and usability.
  • Cloud Deployment : Deploy AI applications on AWS, Azure, or similar platforms, ensuring reliability and scalability.
  • Containerization : Use Docker and Kubernetes to manage containerized applications and streamline deployment processes.
  • Knowledge Sharing : Lead or support training sessions, workshops, or presentations to share AI best practices and insights with teams and clients.
  • Collaboration : Work closely with cross-functional teams to identify AI opportunities and deliver tailored solutions.
  • Continuous Improvement : Monitor and refine deployed solutions to ensure optimal performance and alignment with business objectives.

    • Required skills

    Skills and Qualifications :

    Education

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; a Master’s degree is a plus.

    • Experience

  • Practical experience with Large Language Models (LLMs), Generative AI frameworks, and Machine Learning (ML) techniques.
  • Hands-on experience in building and deploying AI solutions using modern frameworks and cloud platforms.
  • 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 AI and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Knowledge of Natural Language Processing (NLP) concepts and tools (e.g., spaCy, NLTK).
  • Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficiency in developing and deploying APIs for AI models and solutions.

    • Preferred Skills

  • Familiarity with prompt engineering techniques (e.g., zero-shot, few-shot prompting).
  • Understanding of data pipelines and tools for data preprocessing and feature engineering.
  • Hands-on experience in training and fine-tuning open-source models using transfer learning or reinforcement learning.
  • Experience with frontend frameworks like React, Vue.js, or Angular to create user-friendly interfaces for AI solutions.
  • Knowledge of ethical AI principles and their application in solution design.

    • Certifications (Optional)

  • Relevant certifications such as AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, or TensorFlow Developer Certificate are a plus.

    • Soft skills

  • Strong analytical skills with a focus on problem-solving.
  • Excellent communication skills to collaborate with technical and non-technical teams.
  • Ability to deliver engaging and informative presentations.
  • Adaptability to work in an Agile environment and handle diverse projects.

    • What we offer

    Work Arrangement

  • Location : Remote work
  • Work Hours : Availability for 30-40 hours per week.
  • Agile collaboration in an international team

    • Compensation and Payment Terms

  • Hourly Rate : Negotiable, depending on experience.
  • Payment Schedule : Monthly