AI Engineering Manager at Blend360

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

15 Oct, 26

Salary

0.0

Posted On

17 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

RAG, Agentic Frameworks, MLOps, LangChain, CrewAI, Google ADK, Prompt Engineering, Python, Cloud AI Services, Machine Learning, Model Deployment, Performance Tracing, Azure, Kubernetes, AI Evaluation, Software Engineering

Industry

Professional Services

Description

Company Description 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 Description We 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. Qualifications 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. 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. 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.

Responsibilities

Design, develop, and deploy scalable AI solutions utilizing RAG, agentic frameworks, and MLOps workflows. Collaborate across engineering teams to align innovative AI systems with broader development goals and performance monitoring.