Summary

Your role:

1. Collaborate with AI Researchers and Data Scientists to transition AI/ML models and research prototypes into scalable, production-ready Python applications.
2. Design, develop, and maintain high-quality, reliable, and secure backend services and API endpoints that integrate AI capabilities.
3. Build and optimize data pipelines and data representation methods (ETL/ELT) for efficient AI Systems serving, evaluation and optimization.
4. Apply advanced software engineering principles (testing, CI/CD, monitoring) to the AI development lifecycle.
5. Integrate and extend existing Python AI/ML libraries and frameworks to meet business and technical requirements.
6. Engineer effective prompts and implement Retrieval-Augmented Generation (RAG) systems for Large Language Model (LLM)-based applications.
7. Stay updated with the latest advancements in Python, software architecture, and the AI/ML field, including LLMs and generative AI.

What makes you stand out:

1. Proven experience as a Senior Python/Software Engineer building and deploying high-performance applications in a production environment.
2. Solid foundation in data structures, algorithms, object-oriented programming, and software engineering best practices.
3. Expert proficiency in Python and experience with frameworks used for backend development and/or data processing (e.g., FastAPI, Django, Flask, Pandas, NumPy).
4. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
5. Demonstrated eagerness to transition into the AI/ML space, with foundational knowledge or self-study in machine learning, deep learning, or natural language processing concepts.
6. Practical experience in designing and building scalable data pipelines.
7. Excellent communication and collaboration skills to work effectively with both engineering and research teams.
8. Creative problem-solving mindset and analytical thinking.
9. BSc in Computer Science, Software Engineering, or a related field.

Nice to have:

1. Hands-on experience using LLMs via APIs (e.g., OpenAI, Anthropic, Gemini, etc.).
2. Familiarity with MLOps tools and workflows (e.g., MLflow, Kubeflow, Airflow, SageMaker).
3. Experience with Retrieval-Augmented Generation (RAG) systems.
4. Knowledge of LLMOps practices and tools for managing the lifecycle of LLM-based applications.
5. Experience building & scaling Agentic Systems.
6. Background in reinforcement learning, computer vision, or generative models (e.g., GANs, diffusion models).

Nexo benefits:

1. Competitive and rewarding remuneration package.
2. Annual performance-based bonuses.
3. Comprehensive Learning Hub for continuous growth.
4. Hybrid work model: primarily office-based with scheduled home office flexibility.
5. A dynamic and inspiring environment with cutting-edge projects.
6. Career development opportunities in a global leader driving the next generation of wealth.
7. Customizable personal benefits package.
8. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
9. Free parking with a designated space, free electric bikes, and public transportation cards.
10. Fresh fruits, snacks, and a well-stocked office kitchen.
11. Regular department team buildings and company-wide team buildings.

Skills

• AWS
• Communications Skills
• Development
• Python
• Software Engineering
• Team Collaboration