Lead AI/ML Engineer — Production-Grade AI, Regulated

Marlabs Inc.; EUA; Teletrabalho; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

Marlabs is seeking a Lead AI/ML Engineer to design, build, and scale enterprise-grade AI solutions powering intelligent decision-making and business outcomes. You will lead production AI systems, including RAG, model serving, governance, and collaboration with data, platform, and product teams.

The ideal candidate combines deep AI/ML expertise with strong software engineering fundamentals and experience deploying AI in regulated environments across diverse sectors, delivering measurable value.

Qualificações

• 6+ years in software engineering with 2+ years deploying production AI/ML
• Strong Python and modern AI/ML frameworks
• Hands-on with LLMs, model serving, embeddings, and retrieval pipelines
• Ability to operate across data, platform, product, and engineering teams in regulated environments

Responsabilidades

• Design, build, and optimize enterprise AI solutions including RAG and semantic retrieval
• Develop and maintain AI model serving infra, embeddings services, and vector pipelines
• Create AI evaluation frameworks measuring accuracy, groundedness, and business impact
• Implement AI governance, security, guardrails, PII protection, and compliance controls
• Collaborate with data engineering to integrate governed data sources and semantic layers
• Define AI product capabilities with stakeholders to maximize performance and value

Conhecimentos

6+ years software engineering

2+ years production AI/ML

Python expert

LLM technologies

Model serving

Governance and security

Cross-functional collaboration

Regulated environments

Ferramentas

Vector databases

Embeddings

Qdrant

pgvector

LlamaIndex

Haystack

vLLM

Ollama

Descrição da oferta de emprego

Marlabs is seeking a Lead AI/ML Engineer to design, build, and scale enterprise-grade AI solutions powering intelligent decision-making and business outcomes. You will lead production AI systems, including RAG, model serving, governance, and collaboration with data, platform, and product teams.

The ideal candidate combines deep AI/ML expertise with strong software engineering fundamentals and experience deploying AI in regulated environments across diverse sectors, delivering measurable value.