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Job Description: Lead GenAI Developer
HW3 · New York, United States (Remote)

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Meet the hiring team

Aleszandro Almano  
 3rd
Principal Research Associate I Banking and Finance (Permanent and contract roles)
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About the job
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)