Full-Time Senior AI Engineer

Key Responsibilities: Design, develop, and deploy AI models and solutions. Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques. Utilize and integrate AI frameworks like LangChain and LlamaIndex. Build and manage agentic frameworks such as CrewAI and AutoGen. Apply MLOps best practices to streamline AI development workflows. Collaborate across teams to ensure alignment with traditional ML and AI methodologies. Work on end-to-end software engineering for scalable solutions. Proficiency in cloud AI services (AWS, Azure, Google Cloud, etc.). Strong understanding of machine learning concepts and traditional AI concepts. Experience with MLOps tools and practices (e.g., model deployment, monitoring). Solid programming skills in Python or other relevant languages. Excellent problem-solving skills and the ability to work in a collaborative environment. Bonus: Experience with Streamlit for interactive web applications. Experience with Snowflake AI and Databricks AI Tools. Excellent written and verbal English for clear and effective communication with the team.

Minimum Experience: 4+ years as an AI Engineer or similar.

Perks and Benefits:

• Learning Opportunities: Certifications in AWS (AWS Partners), Databricks, and Snowflake. Access to AI learning paths, study plans, courses, and additional certifications.
• Mentoring and Development: Career development plans and mentorship programs.
• Celebrations & Support: Special day rewards, company-provided equipment, and flexible working options.

Next Steps: Send your resume or LinkedIn profile to explore opportunities.

What is the last date for applying to the job?

Which countries are accepted for this remote job?