Senior AI Engineer

Company Description

Are you looking for an opportunity in a thriving tech industry? Join us at Blend grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.  

What is this position about?  
We are seeking a skilled Senior AI Engineer to develop and deploy cutting-edge AI solutions. The ideal candidate will have a strong foundation in AI concepts, experience with cloud AI services, and a hands-on approach to end-to-end software engineering. 

Job Description

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. 

Qualifications

• 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.  

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 4+ years of experience as an AI Engineer or similar. 

Additional Information

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. 

👩‍🏫 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. 

So what are the next steps?  

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!