Live opening · Posted 19 hours ago

AI Software Engineer (Python / LLM / RAG) - 100% Remote

Optomi · Charlotte Metro (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 19 hours ago
CompanyOptomi
LocationCharlotte Metro (Remote)
SalaryUp to $140K/yr · 3 benefits
Work modeYes
SkillsPython, AWS, GCP
SourceLinkedin
ListedPosted 19 hours ago

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About the role

Description supplied by the original job listing.

Optomi, in partnership with a leader in roadside assistance and insurance, is seeking an AI Software Engineer to join their expanding team! This role involves developing innovative AI solutions such as chatbots for customer service and HR systems to enhance efficiency and reduce customer service calls. The AI Software Engineer will work on greenfield projects and improve existing applications, including web scraping and agentic AI initiatives. The position requires adapting to a fast-paced environment where project scopes change regularly based on business needs.
What the right candidate will enjoy:
Opportunity to work 100% remotely with EST hours.
Being part of a collaborative and balanced work-life culture.
Engaging in cutting-edge AI projects that influence business strategy.
Apply today if your background includes:
3-5 years of mid-level experience with Python (Django/Flask/FastAPI).
Proven track record in delivering production-grade Generative AI/LLM solutions.
Experience with LLMs, RAG, OCR, and Responsible AI concepts.
Familiarity with Python development and LLM application frameworks like LangChain.
Cloud services experience, preferably GCP or AWS.
Production delivery of Generative AI / LLM solutions
LLMs, Retrieval-Augmented Generation (RAG), OCR, and Responsible AI concepts
Gen AI frameworks and services such as OpenAI and Vertex AI; Python Django
What the responsibilities are of the right candidate:
Develop and enhance applications that integrate with large language models and Generative AI services.
Create system specifications, prototypes, code, and technical documentation in accordance with IS standards.
Understand user requirements and translate them into technical deliverables.
Monitor, analyze, and resolve development issues across the software lifecycle and post-implementation.
Support CI/CD model and data pipelines and quality of assigned deliverables.

Work arrangement
Yes

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