AI Engineering Lead (LATAM)
Quick Summary
Architect and ship end-to-end AI applications across GenAI, agentic AI, ML/DL including computer vision,
Responsibilities
~1 min read- →
Architect and ship end-to-end AI applications across GenAI, agentic AI, ML/DL including computer vision, and automation
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Lead technical direction for AI projects across multiple accounts
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Review solution architecture and ensure scalable, secure, enterprise-ready builds
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Coach and mentor engineers through code reviews, 1:1s, and growth plans
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Define best practices for AI-first software development, cloud deployment, and engineering quality
Strong hands-on experience with Python, LLM applications, RAG, agentic workflows, and AI microservices
Experience with tools such as LangChain, LlamaIndex, vector databases, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP
Understanding of MLOps/LLMOps, CI/CD, AI observability, latency, cost, and performance optimization
Proven experience mentoring or leading engineering teams
Strong communication skills and the ability to explain AI trade-offs to both technical and non-technical stakeholders
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- July 2, 2026
- First seen
- September 26, 2026
- Last seen
- September 26, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 20%
- Scored at
- September 26, 2026
Signal breakdown
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