Summary
✨ AI‑Generated
A Software Engineer with strong backend expertise and an interest in applied AI is sought to build scalable APIs, services, and data pipelines. You will integrate LLMs, embeddings, retrieval-augmented generation, and other machine-learning capabilities into production applications while improving performance, reliability, and cost efficiency.
Highlights
Well-compensated hybrid engineering role combining backend development with applied AI. You will build scalable APIs and data pipelines, integrate modern language-model technologies, and work closely with product and design teams to deliver production-ready AI capabilities.
Description
Software Engineer – Backend / Applied AI Job Description
We are looking for a Software Engineer with a strong backend engineering background and an interest in applied AI to build scalable APIs, backend services, and data pipelines that power AI-driven features.
This role focuses on integrating large language models (LLMs), embeddings, and retrieval-augmented generation (RAG) into production applications.
You will work closely with product and design teams to develop reliable, scalable, and efficient AI-powered solutions.
Location: Charlotte, NC (Hybrid – 3 days onsite per week)
Salary: $92,000–$115,000
Responsibilities
Design, build, and maintain scalable backend systems, APIs, and services.
Integrate AI/ML capabilities, including LLMs, embeddings, and classification.
Develop and optimize data pipelines for AI workflows.
Implement RAG and context-aware systems.
Integrate third-party AI tools and services.
Improve system performance, reliability, and cost efficiency.
Write clean, maintainable, well-tested code.
Collaborate with cross-functional teams and contribute to architectural decisions.
Required Skills
Strong programming experience in Python, JavaScript/TypeScript, PHP, Go, or similar languages.
Experience building and maintaining backend systems and APIs.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Experience with SQL and/or NoSQL databases.
Understanding of software design principles and system architecture.
Familiarity with AI API integrations, prompt engineering, embeddings, vector search, and model evaluation.
Preferred Skills
Experience building and deploying AI-powered applications in production.
Familiarity with vector databases such as Pinecone or Weaviate.
Experience with LangChain or LlamaIndex.
Knowledge of machine learning fundamentals, including training, fine-tuning, and evaluation.
Experience with Docker, Kubernetes, or event-driven architectures.
Frontend experience with React or Next.js is a plus but not required.
Additional Information
Hybrid position requiring three days onsite per week in Charlotte, NC.
Work visa sponsorship is not available.
Equal opportunity employer.
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By: Elizabeth Flint
