AI Engineer
About the role
About the Company
Addepto is a leading and company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Beyond client projects, we have developed our own offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by as one of the top 10 AI consulting companies worldwide.
About the Role
We are looking for an ambitious and motivated AI Engineer with a solid software engineering background in Python. This is a great opportunity for someone who wants to grow their skills in the field of Generative AI and LLMs. You will work with an experienced team that supports professional growth and ensures every project is a learning opportunity. If you’re comfortable with backend development and have a keen interest in data science and frontend technologies, this is the perfect role for you.
Responsibilities
Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers.
Assist in transforming Data Science prototypes into production-ready solutions.
Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI.
Ensure code quality and implement good software engineering practices.
Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).
Qualifications
At least 3+ years of commercial experience in software engineering with Python.
Required Skills
Strong programming skills in Python: writing clean code, OOP design.
Hands-on experience with LLMs (Large Language Models) and Generative AI.
A solid understanding of software design principles.
Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL).
Familiarity with Docker, Git, and basic CI/CD concepts.
Practical experience working in a cloud environment (AWS, GCP, Azure).
Preferred Skills
A personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).
Practical experience and strong interest in Data Science and Machine Learning.
Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings, Vector Databases and OpenSource LLMs.
Pay range and compensation package
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose from various employment options: B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
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Responsibilities
- Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers.
- Assist in transforming Data Science prototypes into production-ready solutions.
- Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI.
- Ensure code quality and implement good software engineering practices.
- Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).
Qualifications
- At least 3+ years of commercial experience in software engineering with Python.
- Strong programming skills in Python: writing clean code, OOP design.
- Hands-on experience with LLMs (Large Language Models) and Generative AI.
- A solid understanding of software design principles.
- Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL).
- Familiarity with Docker, Git, and basic CI/CD concepts.
- Practical experience working in a cloud environment (AWS, GCP, Azure).
Benefits
- Flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
- Career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
- 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
- Team-building events and integration budget.
- Medical and sports packages, eye care, and well-being support services.
- Full work equipment for optimal productivity, including a laptop and other necessary devices.
Skills mentioned
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