Description

As a Senior AI Engineer, you will focus on developing innovative AI applications, driving research initiatives, and automating workflows to enhance efficiency. This role involves mentoring teams and overseeing the entire product lifecycle to ensure high-quality outcomes.

Requirements

• •Expert-level Python programming
• •Extensive experience in ML frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex, or similar)
• •Proven track record of building and deploying production AI systems
• •Strong experience with data warehousing solutions and data lakes (BigQuery, Snowflake, Redshift, or comparable platforms)
• •Proficiency in working with cloud storage solutions and data management systems
• •Advanced experience with AI-powered development environments (Cursor, GitHub Copilot, or similar tools)
• •Demonstrated ability to leverage AI pair programming
• •Track record of optimizing development workflows through intelligent automation
• •Expert-level proficiency with modern version control systems
• •Experience with Git-based platforms (GitHub, GitLab, Bitbucket, or similar)
• •Ability to architect and maintain clean, well-documented repositories
• •Strong experience with containerization technologies (Docker, Kubernetes, or similar)
• •Familiarity with data analytics and visualization platforms
• •Experience with workflow automation and orchestration tools
• •Understanding of cloud infrastructure and services (GCP, AWS, Azure)
• •Proven problem-solving abilities
• •Active engagement with the AI community
• •Ability to translate emerging AI technologies into practical business solutions
• •Mentorship mindset with ability to guide junior team members

Tasks

• •Design and architect advanced AI solutions
• •Develop and optimize sophisticated LLM pipelines
• •Utilize prompt engineering and context management techniques
• •Drive research initiatives for cutting-edge AI methodologies
• •Prototype and integrate AI solutions for production use cases
• •Architect and implement Retrieval-Augmented Generation systems
• •Design and implement automated workflows and AI agents
• •Lead initiatives to streamline business processes through automation
• •Own the complete product lifecycle from ideation to deployment
• •Provide technical mentorship across cross-functional teams
• •Establish evaluation frameworks and reporting pipelines

Tools & Technologies

Benefits