Senior Software Development Engineer AI

## Senior Software Development Engineer AIApply:
Remote:
CT - Work from home:
Work At Home-Arizona:
Work At Home-Texas:
Work At Home-Georgia:
Work At Home-Illinois:
Full time:
Posted Today:
End Date:
October 16, 2026 (6 days left to apply):
R1047559

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
** Position Summary
** We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced language model–powered applications for enterprise use cases. This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and knowledge discovery across the organization.

As a key member of a cross-functional team, you will collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions. You will play a critical role in shaping enterprise AI capabilities by ensuring solutions are secure, responsible, and optimized for real-world performance.
** Required Qualifications
*** Strong programming experience in Python and familiarity with software engineering best practices.
* Hands-on experience building production-grade AI/ML systems, not just prototypes.
* Experience working with Large Language Models (LLMs) and APIs.
* Solid understanding of:  + Natural Language Processing (NLP) fundamentals  + Machine learning concepts (training, evaluation, overfitting, bias)
* Practical experience with:  + Retrieval-Augmented Generation (RAG) systems  + Prompt engineering and prompt optimization  + Embeddings and vector search
* Experience designing and implementing APIs, microservices, or distributed systems.
* Familiarity with model evaluation techniques and performance metrics.
* Strong debugging and problem-solving skills in complex systems.
** Preferred Qualifications
*** Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.
* Familiarity with orchestration frameworks like Lang Chain, Llama Index, Semantic Kernel, or equivalent.
* Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search).
* Knowledge of MLOps practices, including CI/CD pipelines for AI systems.
* Experience deploying solutions in cloud environments (e.g., AWS, Azure, GCP).
* Exposure to agent-based architectures or multi-step AI workflows.
* Experience in financial services enterprise environments (or similar data-intensive industries).
* Experience with evaluation frameworks and benchmarking for LLMs.
** Tools and Technologies
*** Programming:
Python (primary), SQL
* LLM Platforms:
OpenAI, Anthropic, Google Vertex AI
* Frameworks:
Lang Chain, Llama Index, Semantic Kernel
* Vector Databases:
Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search
* Data Processing:
Spark, Pandas
* APIs & Services:
FastAPI, Flask, REST/gRPC
* Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
* Dev Ops & MLOps:
Docker, Kubernetes, CI/CD tools
* Monitoring & Evaluation:
Prompt evaluation tools, logging frameworks, observability platforms
** Education
* ***** Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
** Anticipated Weekly Hours
** 40
* * Time Type
** Full time
** Pay Range
** The typical pay range for this role is:$83,430.00 -…