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Optimizing business performance through people, data, tech & analytics
AI Engineer – Manager
Location
Colombia
Posted
86 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer – Manager
Blend360
• Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems. • Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management. • Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency. • Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost). • Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls. • Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership. • Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards. • Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.
Job Requirements
- Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
- Strong expertise in transformer-based models and LLM architectures.
- Proven experience designing and deploying applied machine learning or generative AI systems to production environments.
- Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.
- Advanced proficiency in Python and production-grade coding practices.
- Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.
- Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment.
- Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering.
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.
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