Basic Information
Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.
Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.
With Aisera, organizations can unlock human potential to save millions of operations costs, enhance productivity by 80%, and achieve 75% auto-resolution rates – all while reducing costs by 90%. Aisera is an award-winning, top-tier VC-funded startup headquartered in Palo Alto, CA, recognized as a leader in multiple industry analyst reports.
We are now looking for a talented Junior Software Python Engineer to join our team!
Responsibilities
- Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
- Translate data science prototypes into production-ready code, ensuring reliability and performance
- Develop microservices that expose machine learning or information retrieval algorithms
- Contribute in identifying performance bottlenecks and improving systems scalability
- Stay updated with the latest technologies and methodologies in both software engineering and data science, and apply them to improve team practices
Benefits
- Competitive remuneration package (above the Greek market standards)
- Opportunity to work in a multinational environment
- Fully remote option
- Flexible working hours
Basic Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Fluency in English
- 2+ years of hands-on experience in software development using Python
- Strong proficiency in Python, along with experience in widely used Python frameworks
- Proficiency in SQL with hands-on experience in working with relational databases
- Solid understanding of software development principles and architectural best practices
- Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Proven experience in designing and developing APIs and microservices
Good to have
- Familiarity with machine learning concepts and libraries (e.g., Pandas, NumPy, PyTorch)
- Experience with information retrieval systems like Elasticsearch
- Familiarity with messaging systems such as Kafka, RabbitMQ, or similar technologies
- Experience with Java and widely-used Java frameworks
