AI Developer

7 dni temu

Gdańsk, Polska CODA100 Pełny etat

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

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