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AI/LLM Engineer

Role overview

Qualifications

  • 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

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

About the company

Motum logo

Motum

Staffing & Recruiting

Motum is your go-to resource for growing your U.S. business with full-time, highly-educated, and extremely talented team members from all around the world. At the same time, we are creating many exciting work opportunities for ambitious and qualified individuals from all over the world that can grow professionally and earn more by being part of top U.S. teams. Our exclusive talent network includes hidden gems who speak perfect English and hold degrees from U.S. level universities. We currently offer fast and flexible hiring in over 30 countries globally and covering different timezones. Bring extended reach and cost efficiency to your team without compromising talent quality. Join us!

Company details

Company typeTPE
IndustryStaffing & Recruiting
Company size11 - 50

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Job description

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 tools and 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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