> Markdown version of [/jobs/ext/2431218-senior-software-development-engineer-ai-engineering](https://www.wearedevelopers.com/jobs/ext/2431218-senior-software-development-engineer-ai-engineering). 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).

---

# Senior Software Development Engineer (AI Engineering)

- **Company:** CVS Health
- **Location:** Richardson, TX, United States
- **Experience:** Expert
- **Salary:** $92,700.0 - $185,400.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Github, Information Retrieval, Python (Programming Language), Open Source Technology, Software Engineering, Web Application Frameworks, Data Logging, Enterprise Software Applications, Cloud Platform System, GitHub Copilot, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Delivery Pipeline, Large Language Models, Grafana, Prompt Engineering, Model Validation, Software Application Programming, Git, Fastapi, Containerization, Kubernetes, Information Technology, Front End Software Development, Virtual Agents, Restful APIs, Software Version Control, Docker, Jenkins, Microservices
- **Published:** August 10, 2026
- **Apply:** https://www.careerjet.com/job/us1fcee8744376f7b9aee3e413ca362942/eaa

## About the Role

5+ years of software development experience with Python
Experience building applications using LLMs (OpenAI, Anthropic, Azure OpenAI, or open-source models)
Hands-on experience with RAG (Retrieval Augmented Generation) implementations
Familiarity with vector databases .
Experience with at least one cloud platform (AWS, Azure, or GCP)
Proficiency in Git version control and collaborative development workflows
Preferred Qualifications
Experience with Agentic AI frameworks (LangChain Agents, AutoGen, CrewAI, or similar)
Familiarity with AI-assisted development tools and practices (GitHub Copilot, Cursor, or similar)
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar)
Experience with FastAPI, Flask, or similar Python web frameworks
Familiarity with frontend technologies (React, JavaScript) for full-stack AI applications
Experience with prompt engineering, fine-tuning, and model evaluation techniques
Understanding of AI safety, responsible AI practices, and ethical considerations
Experience with document processing libraries (LangChain document loaders, Unstructured, etc.)
Familiarity with observability tools for AI applications (LangSmith, Weights & Biases, or similar)
Strong problem-solving skills and ability to debug complex AI system behaviors
Understanding of RESTful API design and integration, Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is required.

## Description

If you're passionate about building real, production-ready AI systems-and not just experimenting in notebooks-this role offers the opportunity to do meaningful, hands-on work at the forefront of applied AI engineering.
What you'll do
Designs and develops AI-powered applications and features using Python, leveraging LLMs, RAG (Retrieval Augmented Generation), and agentic AI frameworks.
Builds and deploys production-ready AI agents and assistants that automate workflows and enhance user experiences across enterprise applications.
Implements RAG pipelines including document ingestion, chunking strategies, vector embeddings, and semantic search to enable intelligent information retrieval.
Develops and integrates AI features into existing applications using RESTful APIs, microservices architecture, and cloud-native patterns.
Applies prompt engineering best practices to optimize LLM outputs for accuracy, consistency, and reliability in production environments.
Collaborates with software engineers, product managers, and UX designers to translate business requirements into AI-powered solutions.
Evaluates and selects appropriate AI models, frameworks, and tools based on use case requirements, cost, and performance considerations.
Writes clean, maintainable, and well-tested code following software engineering best practices including code reviews, CI/CD, and version control.
Monitors AI application performance, implements logging and observability, and continuously improves model accuracy and response quality.
Stays current on emerging AI technologies, frameworks (LangChain, LlamaIndex, CrewAI), and industry best practices in AI application development.


## Related Videos

- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Building the next generation of AI developer tools](https://www.wearedevelopers.com/videos/100069-building-the-next-generation-of-ai-developer-tools)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [From Syntax to Singularity: AI’s Impact on Developer Roles](https://www.wearedevelopers.com/videos/900-from-syntax-to-singularity-ai-s-impact-on-developer-roles)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)