Company 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. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Position Overview

We are seeking an AI Engineer Manager to contribute to our next level of growth and expansion. This role will be responsible for leading the technical direction of LLM-based systems and applied AI initiatives, while collaborating closely with Engineering, Product, and ML Ops teams.

Job Responsibilities

• Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
• Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
• Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency.
• Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
• Implement guardrails and Responsible AI practices, ensuring safety controls and bias reduction.
• Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders.
• Mentor junior and mid-level engineers, ensuring high-quality Python code standards.
• Drive experimentation strategies and promote data-driven decision-making.

Qualifications

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience designing and deploying applied machine learning or generative AI systems.
• Hands-on experience with LLM frameworks like LangChain, OpenAI API, or similar tools.
• Advanced proficiency in Python and production-grade coding practices.
• Experience with containerization and cloud-native architectures.
• Strong leadership skills and excellent collaboration abilities.

Additional Information

Our Perks and Benefits:

• Learning opportunities including certifications in AWS, Databricks, and access to AI learning paths.
• Travel opportunities to attend industry conferences.
• Career development plans and mentorship programs.
• Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM. For detailed information regarding benefits, please consult with our recruiters.