Offer summary

Qualifications:

6+ years of experience in Python Core Engineering with a strong grasp of best practices., Proficient in databases such as BigQuery, SQL, and PostgreSQL., Experience with Cloud Services and Infrastructure including Docker and Kubernetes., Familiarity with AI-driven applications, Generative AI, and NLP..

Key responsabilities:

Design and maintain an AI Agent builder platform for non-technical users.

Implement Python-based solutions for AI agent creation and deployment.

Collaborate with teams to refine platform requirements and enhance functionality.

Optimize the platform's performance, reliability, and security.

Job description

We are seeking a highly skilled Senior AI Engineer to join our team and play a key role in the development of our internal Agent Builder - a self-service agent builder platform, enabling businesses to move away from heavy prompt engineering in favor of a more intuitive experience where custom-built workflows can be managed by typical business users, where they can effortlessly create, modify, and deploy AI-driven agents for various business workflows.This is a unique opportunity to be part of an innovative AI project that will transform business decision-making.
Responsibilities

Design, develop, and maintain an AI Agent builder platform, ensuring scalability and usability for non-technical users.
Implement robust and efficient Python-based engineering solutions to support AI agent creation and deployment.
Collaborate with cross-functional teams to refine platform requirements and enhance functionality.
Ensure the adaptability of the system to support various business departments beyond customer service.
Optimize performance, reliability, and security of the platform.

Requirements

+ 6 years of strong experience in Python Core Engineering, with a deep understanding of Python’s core functionalities and best practices.
Experience working with databases like BigQuery, SQL, PostgreSQL.
Experience with Cloud Services and Infrastructure (Docker, Kubernetes, Microservices).
Experience in AI-driven applications, particularly in building, deploying, and fine-tuning AI agents.
Familiarity with Generative AI (GenAI), LLMs (Large Language Models), and NLP (Natural Language Processing).
Hands-on experience with prompt engineering and optimizing model outputs for business use cases.
Understanding of vector databases and retrieval-augmented generation (RAG) techniques.
Ability to work with APIs and integrations for AI model deployment.
Proven track record in building scalable, maintainable, and high-performance software systems.
Ability to work independently and collaboratively in a fast-paced environment.
Strong problem-solving skills and attention to detail.
Ability to navigate ambiguity and adapt to an evolving environment.
Strong desire and capability to continuously learn and stay updated with industry changes and trends.
Experience with automation tools is a plus.