Generative AI Engineer
4 weeks ago
About Us:
We are at the forefront of AI-driven transformation, leveraging cutting-edge technologies to build innovative, scalable, and efficient solutions. We are seeking a Generative AI Engineer who is passionate about integrating advanced AI capabilities to meet evolving business needs. If you have a strong technical background, hands-on experience in Python programming, and expertise in cloud platforms—especially AWS—this role is for you
Key Responsibilities:
Generative AI Development:
· Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks.
· Design and implement effective prompts to optimize AI-generated outcomes through prompt engineering.
Vector Databases & RAG:
· Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency and retrieval-augmented generation (RAG) for improved contextual responses.
· Implement advanced search and retrieval techniques, including code ingestion and knowledge retrieval, to enhance AI performance.
Cloud Integration & Debugging:
· Debug AI models and cloud-based solutions independently, particularly within AWS environments.
· Deploy and optimize AI-driven applications using cloud-native services on AWS, ensuring scalability and efficiency.
End-to-End Application Development:
· Build and integrate frontend applications using Streamlit and backend services using Python to create comprehensive end-to-end AI solutions.
Cross-functional Collaboration & Communication:
· Collaborate with cross-functional teams to test AI-driven solutions, gather feedback, and enhance system capabilities.
· Communicate complex AI concepts effectively to non-technical stakeholders, ensuring clarity in AI adoption and implementation.
Innovation & Continuous Improvement:
· Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges.
· Stay updated with the latest advancements in Generative AI and cloud-based AI solutions.
Key Qualifications:
Proficiency in Python:
· Strong programming skills, particularly in AI/ML model development, API integration, and cloud-based deployment.
Prompt Engineering Expertise:
· Ability to craft, test, and optimize AI prompts to enhance LLM (Large Language Model) performance.
Experience with Vector Databases:
· Hands-on knowledge of Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) and retrieval-augmented generation (RAG) techniques.
Preferred Qualifications:
AWS Cloud Certification:
· Certifications such as AWS Certified Machine Learning or AWS Certified Solutions Architect are highly desirable.
Multi-Language Proficiency:
· Exposure to additional programming languages such as Java, React, and Angular.
Awareness of Emerging AI Trends:
· Deep awareness of emerging AI trends and innovations, with the ability to evaluate and apply the latest advancements in Generative AI.
Tell employers what skills you have
TensorFlow
Machine Learning
Scalability
PostgreSQL
Architect
Application Development
Keras
PyTorch
Python
Angular
Java
Debugging
API
Python Programming
Databases
C++
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