AI/LLM Engineer

Motum; United States; Remote; USD 24,000 - 43,000; Full time

Benefits offered by this job

100% remote

Competitive compensation

Flexible remote work culture

Job summary

Motum is seeking an AI/LLM Engineer to join a fast-growing tech team. You will focus on prompt engineering, fine-tuning large language models, and running experiments to apply AI research to real-world healthcare, legal, and insurance use cases.

You will design prompts, train models, analyze results, and stay current with new AI techniques. This role offers 100% remote work and opportunities to work with cutting-edge tools and cloud platforms.

Qualifications

• Bachelor's degree or higher in CS/Engineering, Math, or related field.
• Strong ability to implement state-of-the-art algorithms and validate results.
• Experience designing experiments, analyzing data, and deriving insights.
• Proficiency in Python, R, GitHub, Minio, RabbitMQ, PostgreSQL.

Responsibilities

• Prompt engineering, instruction tuning, and chain-of-thought techniques for LLMs.
• Train and fine-tune LLMs with parameter-efficient methods.
• Run experiments and present data-driven results.
• Stay updated with AI research and industry trends.
• Work independently while meeting deadlines and contributing to team goals.
• Apply AI/LLM innovations to production-grade use cases.

Skills

Python

R

GitHub

PostgreSQL

PyTorch

TensorFlow

LangChain

LlamaIndex

Haystack

DSPy

Kubernetes

Docker

Ray

Airflow

AWS

GCP

Azure

Education

Bachelor's degree in CS/Engineering

Masters/PhD in NLP or ML

Tools

Docker

Kubernetes

Ray

Airflow

Minio

RabbitMQ

LangChain

LlamaIndex

Haystack

DSPy

AWS

GCP

Azure

Job description

Location: Chile

About the Role

We're looking for an AI/LLM Engineer to join a fast-growing technology team thats building cutting-edge solutions across the healthcare, legal, and insurance industries. In this role, you'll focus on prompt engineering, fine-tuning large language models, running experiments, and applying the latest in AI research to real-world applications. If you're passionate about innovation and thrive in dynamic environments, this ones for you.

Responsibilities

• Engineer LLM prompts using techniques like instruction tuning, chain-of-thought, and automated prompt engineering
• Train and fine-tune LLMs with parameter-efficient and few/medium-shot approaches
• Run experiments and present results with clear, data-driven insights
• Stay actively engaged with research literature and emerging AI technologies
• Work independently and manage deadlines while contributing to larger team goals
• Apply AI/LLM innovations to practical, production-level use cases

Requirements

• Bachelors degree in Computer Science, Engineering, Mathematics, or related field
• Strong ability to implement and validate state-of-the-art algorithms
• Experience with experiment design, analysis, and insight generation
• Proficient in Python, R, GitHub, Minio, RabbitMQ, PostgreSQL
• Hands-on experience with deep learning tools (PyTorch, JAX, TensorFlow)
• Familiar with LLM libraries such as LangChain, LlamaIndex, Haystack, DSPy
• Knowledge of cloud and orchestration tools (Kubernetes, Docker, Ray, Airflow, Conductor)
• Solid grasp of cloud platforms (AWS, GCP, Azure)
• Excellent problem-solving and communication skills
• Self-motivated and passionate about staying ahead of industry trends

Preferred Qualifications

• Masters or PhD in NLP or Machine Learning
• Demonstrated real-world projects using LLMs or related technologies
• Several years of experience in AI/ML engineering

Additional Information:

• Working Hours: Monday to Friday, 9AM-5PM EST
• Full-Time: 40 hours per week
• Type of Contract: Independent contractor

Why Join Us?

• 100% remote role Work from anywhere!
• Be part of a forward-thinking AI company Drive transformation in critical industries such as health, legal, and insurance
• Work with modern toolsand infrastructure Tackle meaningful, large-scale projects
• Enjoy autonomy, ownership, and growth opportunities
• Learn from top-tier engineers Collaborate with smart, passionate teammates
• Competitive compensation and flexible remote work culture