Agentic AI Engineer
Location: US Office - Dallas
Years of Experience: 2-5 Years
Job Summary: We are seeking a skilled Agentic AI Engineer with a strong foundation in generative AI technologies. The ideal candidate will be responsible for designing, developing, and implementing data-driven solutions that leverage agentic AI principles to enhance decision-making processes and automate workflows. This role requires a blend of technical expertise and innovative thinking to drive the development of intelligent systems.
Responsibilities:
- Design and implement data pipelines to support agentic AI applications.
- Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
- Utilize generative AI models to create intelligent systems that improve operational efficiency.
- Analyze and optimize existing data architectures to support scalable AI solutions.
- Conduct research on emerging AI technologies and integrate them into existing frameworks.
- Ensure data quality and integrity throughout the data lifecycle.
Mandatory Skills:
- Strong knowledge of generative AI technologies and frameworks.
- Proficiency in data engineering tools and languages (e.g., Python, SQL, Spark).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI solutions.
- Solid understanding of data modeling, ETL processes, and data warehousing.
Preferred Skills:
- Familiarity with machine learning algorithms and their applications.
- Experience with big data technologies (e.g., Hadoop, Kafka).
- Knowledge of AI ethics and responsible AI practices.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 2-5 years of experience in data engineering or a related role.
- Proven track record of working with generative AI projects.
- Excellent communication and teamwork skills.