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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying NLP-driven solutions on GCP, with a strong focus on agent-based systems and performance evaluation. Proficient in Python, SQL, and deploying LLM-based systems, while effectively collaborating with cross-functional teams.
Highest-signal resume keywords
Python Coding In Production Cloud EnvironmentNLP Model Development Using PyTorch And TransformersDeployment Of LLM-Based Systems With CI/CDExperience With GCP Services Including BigQuery And KubernetesAgent Evaluation And Guardrails
ATS Keywords
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Hard Skills
PythonNLP Model DevelopmentSQLGitCI/CDGPU-Mounted ContainersAgent FrameworksCUDATensorRTFine-Tuning Models
Soft Skills
Analytic SkillsCommunication Skills
Tools & Technologies
GCPBigQueryKubernetesVertex AIGKELangGraphLangChainOpenAI Agents SDKLLMOpsMLOps
Industry Keywords
Information ExtractionUnstructured DataMedicare Stars ProgramAgent-Based SolutionsProduction Systems
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformKubernetesPythonPyTorchSQL
About the role
Key responsibilities & impact- Design, build, and deploy MCP and agent-based solutions on GCP
- Develop NLP-driven information extraction pipelines
- Build reliable agent pipelines from input handling to validated outputs
- Evaluate and monitor agent performance in production
- Partner with engineers, domain experts, and stakeholders to deliver production systems
- Extract information from unstructured data using local and cloud-hosted large language models to improve the Medicare Stars program
Requirements
What you’ll need- 3+ years coding Python in a production cloud environment
- 3+ years developing and testing NLP models using PyTorch and Transformers
- Experience deploying LLM-based systems to production with CI/CD
- Experience with agent evaluation and guardrails
- Experience with GPU-mounted containers for development and inference
- Proficiency in SQL and Git
- Strong analytic and communication skills across technical and business audiences
- Bachelor's degree in data science, statistics, CS, engineering, or a related field
- Preferred: 3+ years using GCP services such as BigQuery, Kubernetes, Vertex AI, and GKE
- Preferred: Experience building MCP servers
- Preferred: Experience with agent frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or ADK
- Preferred: Experience with LLMOps and MLOps, including monitoring, versioning, and data and model provenance
- Preferred: Experience deploying local LLMs with vLLM or SGLang
- Preferred: Experience with CUDA, TensorRT, and TensorRT-LLM for GPU inference optimization
- Preferred: Experience fine-tuning encoder, decoder, and encoder-decoder models
- Preferred: Experience hardening container images, including distroless patterns and CVE scanning
- Preferred: Experience leading AI projects end to end and mentoring junior colleagues
- Preferred: Advanced degree in data science, statistics, CS, engineering, or a related field
Benefits
Comp & perks- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources supporting physical, emotional, and financial well-being
- CVS Health bonus, commission or short-term incentive program in addition to base pay