Cloud Platform Engineer

Responsibilities

• Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks
• Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency, knowledge retrieval, and retrieval-augmented generation (RAG) for improved contextual responses
• Design effective prompts to optimize AI-generated outcomes through prompt engineering
• Implement search and retrieval techniques, including code ingestion and knowledge retrieval to enhance AI performance
• Debug AI models and cloud-based solutions independently, particularly within AWS environments
• Build and integrate frontend applications using Streamlit and backend services using Python to create end-to-end AI applications
• 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
• Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges

Skills

• Proficiency in Python – Strong programming skills, especially in AI/ML model development, API integration, and cloud-based deployment
• Prompt Engineering Expertise – Ability to craft, test, and optimize AI prompts to improve LLM (Large Language Model) performance
• Experience with Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB)
• Knowledge of retrieval-augmented generation (RAG) techniques and efficient AI memory storage
• AWS Cloud Certification – Holding certifications such as AWS Certified Machine Learning or AWS Certified Solutions Architect demonstrates expertise in cloud-based AI deployment and optimization
• Exposure to Multiple Programming Languages – Proficiency in languages beyond Python, such as Java, React, and Angular
• Deep Awareness of Emerging AI Trends & Innovations – Ability to continuously research, evaluate, and apply the latest advancements in Generative AI and cloud-based AI solutions, ensuring the organization remains at the cutting edge of AI-driven transformation

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Responsibilities

• Develop, test, and deploy Generative AI models using LangChain, AWS Bedrock, and other AI frameworks
• Leverage Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB) to enhance AI search efficiency, knowledge retrieval, and retrieval-augmented generation (RAG) for improved contextual responses
• Design effective prompts to optimize AI-generated outcomes through prompt engineering
• Implement search and retrieval techniques, including code ingestion and knowledge retrieval to enhance AI performance
• Debug AI models and cloud-based solutions independently, particularly within AWS environments
• Build and integrate frontend applications using Streamlit and backend services using Python to create end-to-end AI applications
• 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
• Actively contribute to team discussions, providing insights and proposing solutions to AI-related challenges

Skills

• Proficiency in Python – Strong programming skills, especially in AI/ML model development, API integration, and cloud-based deployment
• Prompt Engineering Expertise – Ability to craft, test, and optimize AI prompts to improve LLM (Large Language Model) performance
• Experience with Vector Databases (e.g., AlloyDB, Aurora PostgreSQL DB)
• Knowledge of retrieval-augmented generation (RAG) techniques and efficient AI memory storage
• AWS Cloud Certification – Holding certifications such as AWS Certified Machine Learning or AWS Certified Solutions Architect demonstrates expertise in cloud-based AI deployment and optimization
• Exposure to Multiple Programming Languages – Proficiency in languages beyond Python, such as Java, React, and Angular
• Deep Awareness of Emerging AI Trends & Innovations – Ability to continuously research, evaluate, and apply the latest advancements in Generative AI and cloud-based AI solutions, ensuring the organization remains at the cutting edge of AI-driven transformation

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241