Senior GenAI Engineer (Python)

Role Overview

We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.

Key Responsibilities

• GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
• Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
• Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
• Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
• Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
• Mentorship: Guide and support junior developers to foster technical growth within the team.
• Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Qualifications

Experience

• 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
• 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Technical Skills

• Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
• Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
• Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
• Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills

• Excellent communication and collaboration skills in team-driven environments.
• Analytical mindset with a strong focus on problem-solving.
• Comfortable working in a fast-paced, dynamic startup culture.
• Eagerness to learn and contribute to cutting-edge technologies.

Benefits

• Competitive Compensation: Tailored to your experience and skill set.
• Flexible Work Arrangements: Hybrid working model for work-life balance.
• Career Growth: Opportunities for professional development and leadership roles.
• Innovative Culture: Work on transformative technologies and make an impact in the AI space.