Why this role stands out
This hybrid role offers an exciting opportunity to shape the future of AI-driven features, building scalable backend systems and integrating cutting-edge technologies like LLMs and RAG. If you're a mid-senior backend engineer with a passion for applied AI and cloud platforms, you'll thrive in this collaborative environment with a competitive salary of $92,000-$115,000. Apply now to advance your career in this dynamic field!
Quick overview
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.
- 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, Google Cloud Platform, 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.
- 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.
- 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.
#LI-SL13
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