AI Manager

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  

We are seeking a AI Data Engineer to contribute to our next level of growth and expansion. 

We are seeking a highly skilled and autonomous Data Engineer with experience in AI technologies to join our multicultural team. This role combines data engineering expertise with applied AI, focusing on Retrieval-Augmented Generation (RAG), semantic search, and AWS services. You will contribute to both maintaining existing solutions and supporting new AI-driven initiatives.

What is this position about? 

• Design, develop, and maintain data pipelines and AI-powered retrieval systems.
• Support the implementation and optimization of semantic search, RAG workflows, and prompt engineering strategies.
• Ensure data quality, testing coverage, and system reliability.
• Collaborate with cross-functional teams and stakeholders to deliver AI-based solutions.
• Participate in system migrations and continuous improvement initiatives.
• Troubleshoot and resolve technical issues in production environments.

• Strong proficiency in Python.
• Experience with AWS services: S3, Lambda, API Gateway (required), Bedrock and Bedrock Knowledge Bases (desirable).
• Knowledge of RAG pipelines, semantic search, embeddings, and prompt engineering.
• Familiarity with OpenSearch or similar search engines.
• Experience with unit and integration testing.
• Understanding of data modeling and NoSQL databases (DynamoDB desirable).
• Knowledge of Kafka (desirable).
• Experience with Visual Studio via SageMaker (plus).
• Autonomous and proactive with strong problem-solving abilities.
• Pragmatic, adaptable, and able to work under pressure.
• Excellent teamwork and communication skills in a multicultural environment.
• Strong troubleshooting skills in fast-paced settings.

What about languages?
You will need excellent written and verbal English for clear and effective communication with the team.

How much experience must I have?
In order to thrive in this role, you must have at least 5+ years of experience in similar roles.

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), 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. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

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