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Senior Backend Engineer

Remote:

Full Remote

Contract:

Freelance

Experience:

Senior (5-10 years)

Work from:

Guyana, Guatemala, Costa Rica, Panama, Haiti, Argentina, Bolivia, Peru

Offer summary

Qualifications:

Proficiency in Golang and Python, 5+ years of backend development experience, Strong understanding of LLM deployment strategies, Experience in productionizing LLM-based systems, Comfortable in venture-backed startup environments.

Key responsabilities:

Develop and maintain scalable backend systems
Deploy and manage LLMs in production settings
Enhance model performance for high traffic
Collaborate with QA and product teams

Project Growth Marketing & Advertising Startup https://www.projectgrowthmarketing.com/

2 - 10 Employees

See more Project Growth offers

Job description

Our client is an innovative company that automates content creators' direct messages on fan platforms using advanced AI that mimics creator behavior. They are looking for a skilled Senior Backend Engineer to join their growing team and drive forward their cutting-edge AI technology.

Location:
Fully-Remote (Work from Home), 9 AM - 5 PM EST

Key Responsibilities:

Design & Build: Develop and maintain scalable backend systems supporting applications powered by large language models (LLMs).
LLM Deployment: Deploy and manage LLMs in production environments, ensuring optimal performance and stability.
Optimization: Enhance model performance and infrastructure to support high-traffic applications.
Collaboration: Partner with QA and product teams to integrate LLMs into products, ensuring smooth deployment and alignment with business goals.

Required Skills:

Technical Expertise: Proficiency in Golang and Python is essential.
Backend Experience: 5+ years of backend development experience with a focus on scalable systems.
LLM Deployment: Strong understanding of LLM deployment strategies, with experience in frameworks like LangChain or DSPy.
Production Experience: Experience in productionizing LLM-based systems.
Startup Experience: Experience in venture-backed startup environments, comfortable in fast-paced settings.

Preferred Qualifications:

Familiarity with the DSPy framework for LLM deployment.
Experience with reinforcement learning in LLM-based systems.
Knowledge of fine-tuning techniques for language models.
Background in machine learning or natural language processing (NLP).

Opportunity:
Join a team that values creativity, collaboration, and innovation in AI. If you are passionate about pushing the boundaries of AI and thrive in a dynamic, fast-paced environment, we’d love to hear from you. This is an exciting chance to revolutionize how AI interacts with fan platforms and beyond.