Senior Production AI Architect — Remote, Equity, Mentorship

Techverse; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Techverse in the United States is seeking a Senior AI/ML Engineer to lead the design and delivery of production AI systems for US enterprise clients. You will work across data pipelines, model training, deployment, and monitoring, owning technical decisions and guiding junior engineers.

This is a client-facing role; you will present solutions to CTOs and engineering leads, mentor teammates, and stay current with AI research. 100% remote, full health benefits, learning budget.

Qualifications

• 5+ years of software engineering experience, with 3+ years in ML/AI systems.
• Production experience with LLM frameworks: LangChain, LlamaIndex or equivalent.
• Experience building RAG systems with vector databases: Pinecone, Weaviate, pgvector.
• Strong ability to explain complex AI to non-technical stakeholders.

Responsibilities

• Design and build production AI systems: RAG pipelines, AI agents, fine-tuned models, and NLP solutions.
• Own technical architecture decisions for client AI projects.
• Lead discovery sessions with client engineering teams to scope AI solutions.
• Write clean, testable Python code with high standards for code review.
• Deploy and monitor ML models in production: performance tracking, drift detection, retraining pipelines.
• Mentor junior and mid-level engineers on ML engineering best practices.
• Stay current with the latest AI research and evaluate new models and frameworks for client applicability.

Skills

5+ years software engineering

3+ years ML/AI systems

Strong communication

Tools

LangChain

LlamaIndex

Pinecone

Weaviate

pgvector

LoRA

QLoRA

Full fine-tuning

Python

Job description

Techverse in the United States is seeking a Senior AI/ML Engineer to lead the design and delivery of production AI systems for US enterprise clients. You will work across data pipelines, model training, deployment, and monitoring, owning technical decisions and guiding junior engineers.

This is a client-facing role; you will present solutions to CTOs and engineering leads, mentor teammates, and stay current with AI research. 100% remote, full health benefits, learning budget.