AI/ML Engineer

Verensoft; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Verensoft is seeking an AI/ML engineer to ship production-grade models across the full ML stack, from data pipelines to serving and monitoring. The role is fully remote and focuses on real client deployments rather than demos.

You will design pipelines, train and deploy models on cloud platforms, build observability, and collaborate on AI-native product architectures with LangChain/LlamaIndex and Python-first tooling. This role offers diverse client engagements and fully remote collaboration.

Qualifications

• Solid foundation in ML fundamentals beyond API wrappers.
• Hands-on experience deploying models to production environments, not just notebooks.
• Familiarity with orchestration frameworks such as LangChain or LlamaIndex.
• Python-first engineering with strong data engineering skills.
• Genuine curiosity about what AI can actually do in practice, beyond hype.

Responsibilities

• Design and implement ML pipelines for client-facing projects.
• Train, evaluate, and deploy models across cloud infrastructure.
• Build observability and monitoring for deployed models in production.
• Work with LLM APIs and fine-tuning workflows for production use cases.
• Contribute to architecture decisions on AI-native product builds.

Skills

ML fundamentals

Production deployment

LangChain/LlamaIndex

Python-first

Data engineering

AI curiosity

Job description

Role overview

This is an AI/ML engineering role focused on shipping models into real production environments rather than demos. The position spans the full ML stack: data pipelines, model training, serving infrastructure, and production monitoring. It is fully remote and sits at the heart of AI-native client builds.

Responsibilities

• Design and implement ML pipelines for client-facing projects
• Train, evaluate, and deploy models across cloud infrastructure
• Build observability and monitoring for deployed models in production
• Work with LLM APIs and fine-tuning workflows for production use cases
• Contribute to architecture decisions on AI-native product builds

Requirements

• Solid foundation in ML fundamentals beyond API wrappers
• Hands-on experience deploying models to production environments, not just notebooks
• Familiarity with orchestration frameworks such as LangChain or LlamaIndex
• Python-first engineering with strong data engineering skills
• Genuine curiosity about what AI can actually do in practice, beyond hype

Benefits and work setup

• Fully remote, full-time engineering role focused on production AI systems
• Exposure to varied client engagements across industries