> Markdown version of [/jobs/ext/3534023-software-engineer-ch-axs](https://www.wearedevelopers.com/jobs/ext/3534023-software-engineer-ch-axs). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer- CH- AXS - **Company:** Aeg Worldwide - **Location:** Charlotte, NC, United States - **Salary:** $92,000.0 - $115,000.0 - **Contract:** Franchise - **Skills:** JavaScript (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Python (Programming Language), Machine Learning, NoSQL, Performance Tuning, OpenAI, Next.js, Search Technologies, SQL Databases, Systems Architecture, Systems Integration, TypeScript, Pinecone, Google Cloud, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Llamaindex, Backend, Event Driven Architecture, Containerization, Solid Principles, Kubernetes, Code Testing, Weaviate, Front End Software Development, Api Design, Model Inference, Data Pipelines, Automation Anywhere, Docker, Golang - **Published:** October 1, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28068384/Software-Engineer-Ch-Axs-North-Carolina-Charlotte-1514 ## About the Role * Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go) * Experience building and maintaining backend systems and APIs * Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure * Experience working with databases (SQL and/or NoSQL) * Understanding of software design principles and system architecture * Familiarity with integrating AI APIs such as OpenAI or Anthropic * Basic understanding of: + Prompt engineering + Embeddings and vector search + Model limitations and evaluation, * Experience building AI-powered applications in production * Familiarity with vector databases (e.g., Pinecone, Weaviate) * Experience with frameworks such as LangChain or LlamaIndex * Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with containerization (Docker) and orchestration (Kubernetes) * Exposure to event-driven or streaming architectures * Frontend experience (React, Next.js) is a plus but not required, * Strong problem-solver with attention to detail * Curious about emerging AI technologies and eager to experiment * Comfortable working in evolving, fast-paced environments * Focused on building reliable, production-ready systems * Communicates clearly with both technical and non-technical teammates Example Projects * Building APIs that power AI-driven features (chat, summarization, recommendations) * Implementing a RAG pipeline for internal or customer-facing search * Creating services that orchestrate LLM workflows or agents * Optimizing latency and cost of AI inference in production * Developing tools to evaluate and monitor model performance ## Description You'll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life. What You'll Do * Design, build, and maintain scalable backend systems and APIs * Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.) * Develop and optimize data pipelines for AI workflows * Implement retrieval-augmented generation (RAG) and context-aware systems * Evaluate and integrate third-party AI tools and services * Improve system performance, reliability, and cost efficiency * Write clean, maintainable, and well-tested code * Collaborate with cross-functional teams to ship AI-powered features * Contribute to architecture decisions and technical direction