EMPLOYMENT
Full-time
COMPENSATION
$92k - 115k/yr
ARRANGEMENT
Hybrid
At a glance
Build scalable backend systems and integrate LLMs, embeddings, and RAG into production AI applications, optimizing their reliability, performance, and cost.
Summarized by AI from the original posting
What you'll do
- 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
Requirements
- 01Strong backend engineering experience
- 02Experience building and maintaining backend systems and APIs
- 03Familiarity with cloud platforms
- 04Experience with SQL and/or NoSQL databases
- 05Understanding of software design principles and system architecture
- 06Familiarity with AI API integrations, prompt engineering, embeddings, vector search, and model evaluation
- 07Experience building and deploying AI-powered applications in production preferred
Skills
PythonJavaScriptTypeScriptPHPGoAWSGCPAzureSQLNosqlLlmsEmbeddings
Full 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