Lead AI Engineer - Remote

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.

In Short

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.
• Experience in cloud AI services (Azure, AWS, Google Cloud, etc.).

Requirements

• 5+ years of experience as an AI Engineer or similar.
• 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.

Benefits

• Learning opportunities including certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Career development plans and mentorship programs.
• Flexible working options.
• Special day rewards to celebrate personal milestones.
• Company-provided equipment.