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 Engineer Manager to contribute to our next level of growth and expansion.
If you’re based outside of Uruguay or Bogotá, you can work 100% remotely. If you’re located in Montevideo or Bogotá, you also have the option to work from our local offices.
Job DescriptionWe are looking for an AI Engineer Manager with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows.
You’ll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals.
What is this position about?
- 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.).
- 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.
- Experience in cloud AI services (Azure, AWS, 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.
Nice to have skills:
- Experience Azure is a plus
- Experience with Kubernetes is a plus.
- Experience with Google ADK is a plus.
- Experience with n8n or Orkes is a plus.
- Experience in AI Evaluation is a plus.
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 as an AI Engineer or similar.
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.
Skills Required
- 5+ years of experience as an AI Engineer or similar
- Hands-on experience designing and deploying scalable AI solutions (RAG, fine-tuning)
- Experience in cloud AI services (Azure, AWS, Google Cloud)
- Strong understanding of machine learning and traditional AI concepts
- Experience with MLOps tools and practices (model deployment, monitoring)
- Solid programming skills in Python or other relevant languages
- Experience integrating and using LangChain
- Experience building or managing agentic frameworks (e.g., CrewAI)
- Advanced prompt engineering skills
- Excellent written and verbal English
- Experience with Kubernetes
- Experience with Google ADK
- Experience with n8n or Orkes
- Experience in AI Evaluation
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
