Cloud Integration Engineer with AI/LLM Expertise

Must Skills: MLFLOW, GenAI, RAG implementation , GENAI orchestration framework, Vectorization using SQL non-SQL data bases, LLMOPS.

Job Description & Skill Requirement:

Experience:

• At least 4 years of experience in full-stack development with a focus on cloud integration.

• Proven experience with Python and TypeScript in developing scalable applications.

• Experience working with databases and designing efficient data models.

• Demonstrated experience with cloud platforms (AWS, Azure) and integrating AI/LLM capabilities.

• Strong portfolio showcasing previous projects that highlight technical expertise and innovation.

Technical Skills:

• Proficiency in Python and TypeScript.

• Experience with front-end frameworks (e.g., React, Angular).

• Strong understanding of back-end technologies (e.g., Node.js, Django).

• Familiarity with cloud platforms (AWS, Azure).

• Experience with databases (e.g., MySQL, PostgreSQL, MongoDB).

• Knowledge of version control systems (e.g., Git).

AI and LLM Experience:

• Experience integrating Large Language Models and AI capabilities into applications.

• Familiarity with AWS Bedrock or Azure OpenAI.

Soft Skills:

• Excellent problem-solving skills and ability to design efficient solutions.

• Strong collaboration and communication skills.

• Ability to work in an agile environment with frequent feedback loops.

Preferred Skills:

• DevOps and CI/CD: Experience with DevOps tools and practices for continuous integration and deployment.

• Security Best Practices: Understanding of security best practices for web applications.

• Cross-Disciplinary Collaboration: Experience working with data scientists and UX designers to integrate AI-driven features.