FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI Engineer, Python, LLMs, RAG
Newton Vision Co.. Develop Python applications and services that interact with large language models (LLMs) through APIs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing Python applications that leverage large language models and retrieval-augmented generation workflows. Proficient in integrating AI features with APIs while ensuring solution quality and performance monitoring.
Highest-signal resume keywords
Python Application DevelopmentLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)API Development and IntegrationTesting and Deployment Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonAPI DevelopmentLarge Language ModelsRetrieval-Augmented GenerationTesting PracticesDeployment Practices
Soft Skills
Clear Communication
Tools & Technologies
LangChainLlamaIndexVector DatabasesCloud PlatformsObservability Tools
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Develop Python applications and services that interact with large language models (LLMs) through APIs
- Build retrieval-augmented generation (RAG) workflows, including document preparation, embeddings, information retrieval, and response evaluation
- Integrate AI features with existing APIs and services
- Monitor solution quality, latency, cost, and performance in production
- Collaborate with engineering and product teams to turn use cases into working features
Requirements
What you’ll need- Professional software development experience with Python
- Hands-on experience building solutions with LLMs and RAG
- Experience developing and integrating APIs
- Sound testing and deployment practices
- Ability to clearly explain individual contributions and how results were evaluated
- Experience with LangChain or LlamaIndex (nice to have)
- Experience with vector databases, cloud platforms, or observability tools (nice to have)
Benefits
Comp & perks- Remote work
- Full-time employment