Production AI/ML Engineer - Remote & Impactful Pipelines

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

Benefits offered by this job

Remote work

Based in Las Palmas

Job summary

abemon is seeking an experienced software engineer to design and integrate production AI/ML systems addressing operational challenges across logistics, compliance, customer service and business processes. You will work on language models, retrieval-augmented generation, AI agents and the engineering practices needed to run these solutions reliably.

Responsibilities include building production pipelines, developing RAG systems with embeddings, connecting model APIs, creating AI agents to automate

Qualifications

• Minimum 3 years of software engineering experience.
• At least 2 years applying AI/ML in production.
• Strong Python skills with PyTorch or scikit-learn.
• Hands-on with language models and prompt design.
• Familiarity with vector databases (Pinecone, Weaviate, pgvector).
• Professional English proficiency.

Responsibilities

• Build and maintain production AI/ML pipelines.
• Develop retrieval-augmented generation systems using embeddings and vector search.
• Connect hosted and open-source model APIs to applications.
• Create AI agents that automate operational workflows.
• Measure model quality and use evaluation results to improve performance.
• Apply MLOps practices, including versioning, monitoring and retraining.

Skills

Python

AI/ML in production

Language model knowledge

Prompt design

English proficiency

Tools

PyTorch

scikit-learn

Pinecone

Weaviate

pgvector

Job description

abemon is seeking an experienced software engineer to design and integrate production AI/ML systems addressing operational challenges across logistics, compliance, customer service and business processes. You will work on language models, retrieval-augmented generation, AI agents and the engineering practices needed to run these solutions reliably.

Responsibilities include building production pipelines, developing RAG systems with embeddings, connecting model APIs, creating AI agents to automate