AI ENGINEER II

Nexzentek Solutions - Houston, TX

Full-time - Mid Level

Houston, TX

Professional, Scientific, and Technical Services

About the position

The AI Engineer II role involves developing and implementing AI solutions using various platforms and APIs. The position requires strong programming skills, particularly in Python, and familiarity with AI frameworks and technologies. The successful candidate will work both independently and collaboratively in a dynamic environment, focusing on AI safety and ethical considerations while delivering actionable insights.

Responsibilities

• Develop and implement AI solutions using platforms and APIs such as OpenAI and Anthropic.
• Utilize programming skills, especially in Python, to create robust applications.
• Integrate web development and API functionalities into AI projects.
• Work with AI frameworks like Lang Chain and Llama Index.
• Understand and apply vector databases and embedding technologies in AI solutions.
• Implement RAG architectures and prompt engineering techniques.
• Communicate insights and approaches clearly to team members and stakeholders.
• Adapt to rapidly changing environments and technologies.
• Collaborate with team members from diverse backgrounds.

Requirements

• Bachelor's degree in Computer Science or related field.
• 3-5 years of experience in AI development.
• Strong programming skills, particularly in Python.
• Experience with AI platforms and APIs (OpenAI, Anthropic, etc.).
• Familiarity with AI frameworks (Lang Chain, Llama Index).
• Understanding of vector databases and embedding technologies.
• Knowledge of RAG architectures and prompt engineering.
• Experience with web development and API integration.
• Understanding of AI safety and ethical considerations.
• Excellent attention to detail and problem-solving skills.

Nice-to-haves

• Experience with fine-tuning and model evaluation.
• Knowledge of semantic search and vector similarity.
• Familiarity with AI orchestration platforms.
• Understanding of token optimization and cost management.
• Experience with multimodal AI applications.
• Experience building solutions with AI agents.
• Experience building AI solutions on AWS.