Senior Software Development Engineer AI

CVS Health Corporation

Northern (KY)

Remote

USD 83,000 - 163,000

Full time

3 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage

Job summary

CVS Health Corporation is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language model–powered applications for enterprise use cases. You will focus on text-based reasoning, RAG pipelines, and scalable prompt frameworks to enhance decision-making and knowledge discovery.

You will collaborate with cross-functional teams, ensure secure and responsible AI solutions, and drive production readiness with robust APIs and microservices in a cloud environment.

Qualifications

  • Proven experience building production-grade AI/ML systems.
  • Strong background in NLP and ML concepts (training, evaluation, bias).
  • Experience with LLM platforms and AI tooling (API usage, prompt engineering).
  • Familiarity with vector databases and retrieval systems (RAG pipelines).
  • Experience deploying scalable APIs/microservices and knowledge of CI/CD for AI.

Responsibilities

  • Design, develop, and operationalize AI/LLM-based applications.
  • Build Retrieval-Augmented Generation pipelines and scalable prompt frameworks.
  • Collaborate with stakeholders to translate requirements into production-grade AI solutions.

Skills

Python programming
LLM experience
Problem solving
Debugging

Education

Bachelor’s or Master’s in CS/Engineering

Tools

OpenAI
Anthropic
Google Vertex AI
LangChain
Pinecone
Weaviate
FAISS
Docker
Kubernetes
FastAPI

Job description

## 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): R1047559We’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 LangChain, LlamaIndex, 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: LangChain, LlamaIndex, 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)* DevOps & 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 - $203,940.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.**Great benefits for great people**We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.This full‐time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‐being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.Additional details about available benefits are provided during the application process and on Benefits Moments.We anticipate the application window for this opening will close on: 10/16/2026
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