Job title:

Lead GenAI Developer

What They’re Looking For:

A senior hands-on AI engineer/architect who can design, build, and lead GenAI (Generative AI) solutions on Google Cloud (GCP) — mainly using Vertex AI and Gemini models. This person will lead a small team, ensure best practices, and work closely with data and cloud teams.

Responsibilities:

7+ years software development, including 3+ years in AI/ML or GenAI
Strong GCP background — especially:
Vertex AI
Gemini models
BigQuery, Cloud Storage, Cloud Functions, Cloud Run
Python + API development experience
Experience building and deploying GenAI or RAG (Retrieval-Augmented Generation) solutions
Architect-level experience — someone who has led or guided technical teams
Understands security/compliance (HIPAA, PHI, PII) — important since it’s healthcare

Qualifications:

7+ years software development, including 3+ years in AI/ML or GenAI
Strong GCP background — especially:
Vertex AI
Gemini models
BigQuery, Cloud Storage, Cloud Functions, Cloud Run
Python + API development experience
Experience building and deploying GenAI or RAG (Retrieval-Augmented Generation) solutions
Architect-level experience — someone who has led or guided technical teams
Understands security/compliance (HIPAA, PHI, PII) — important since it’s healthcare

Required Skills:

7+ years software development, including 3+ years in AI/ML or GenAI
Strong GCP background — especially:
Vertex AI
Gemini models
BigQuery, Cloud Storage, Cloud Functions, Cloud Run
Python + API development experience
Experience building and deploying GenAI or RAG (Retrieval-Augmented Generation) solutions
Architect-level experience — someone who has led or guided technical teams
Understands security/compliance (HIPAA, PHI, PII) — important since it’s healthcare

Preferred Skills

Background with healthcare payer data (claims, prior auth, etc.)
Experience with LLM fine-tuning, prompt engineering, and model orchestration
Familiar with CI/CD, containerization (Docker/Kubernetes)

HW3

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Lead GenAI Developer