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Blend360

Optimizing business performance through people, data, tech & analytics

AI Engineering Manager

Engineering ManagerEngineering ManagerFull TimeRemoteLeadTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Latin America (LATAM)

Posted

3 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

AI Engineering Manager

Blend360

Role 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. - 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. Requirements - Excellent written and verbal English for clear and effective communication with the team. - At least 5+ years of experience as an AI Engineer or similar. 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.

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