About the role

Agent AI Engineer

Job Summary:

Join our dynamic team as an Agent AI Engineer, where you will play a vital role in the development and enhancement of our AI capabilities. With a focus on leveraging cutting-edge technologies, you will contribute to projects that drive innovation and efficiency, impacting our organization and clients positively.

Key Responsibilities:

Design and implement robust AI solutions using Claude code and integrate them with existing systems.
Develop and maintain APIs for seamless communication between various applications and services.
Utilize Python and PySpark for data processing and analysis to support AI-driven initiatives.
Collaborate with cross-functional teams to gather requirements and ensure the alignment of AI projects with business goals.
Implement DevOps practices to automate deployment pipelines for AI models and applications.
Conduct testing and debugging of AI systems to ensure reliability and performance standards are met.
Stay updated with industry trends and advancements in AI technologies to continuously enhance project quality.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5-12 years of experience in AI and machine learning development.
Proficiency in Claude code and experience with API integration.
Strong programming skills in Python and experience with PySpark.
Familiarity with DevOps tools and practices for efficient deployment and operations.
Demonstrated problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and collaboration skills to work effectively in teams.

Preferred Qualifications:

Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of machine learning frameworks such as TensorFlow or PyTorch.
Experience in data engineering or data architecture roles.
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
Previous experience in a startup or agile work environment.

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health and wellness benefits program.
Flexible work hours and remote working opportunities.
Continuous professional development and training initiatives.
Generous paid time off and vacation policies to promote work-life balance.
Collaborative and inclusive work culture with diverse team members.
Access to cutting-edge technologies and innovative projects.

Agentic AI Engineer