HERS Advisors is partnered with a health system who is reimagining the future of healthcare through the power of AI. Our team is building a secure, scalable, and mission-aligned Generative AI platform to power intelligent assistants, automate workflows, and enable ML-driven decision support.

They seeking a Generative AI Engineer to architect, build, and maintain the infrastructure and services that support our GenAI applications. This is a hands-on technical role ideal for an engineer who thrives at the intersection of ML infrastructure, backend systems, and real-world impact. The team is amazing, collaborative and a lot of fun. If you are seeking a career enhancing opportunity, then this is the position for you.

Job Description

Experience
• Required: 5+ years of experience in industry experience in software engineering

• Strong software engineering skills
• Experience building large-scale distributed systems
• Experience with developing ML and GenAI applications
• Utilize frameworks for building agentic AI systems, and utilizing them in building end-to-end multi-agent applications

Preferred:

• Experience with application performance tuning and optimization

Education
Required: Bachelor’s in Computer Science, or related discipline.

Training
Required:
· Proficiency in Python and backend frameworks (e.g., FastAPI, Flask).
· Experience with cloud platforms (preferably AWS) and tools like Docker and Kubernetes.

• Strong knowledge of API development, microservices, and serverless architectures.
• Experience with LLMs, retrieval-augmented generation and vector database solutions.

Preferred:

• Experience with MLOps or deploying machine learning models in production.
• Experience with JavaScript (React, Node.js)

Specialized Skills
Required: Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.

• Familiarity with tools such as LangChain, LlamaIndex, Pinecone, Weaviate, or FAISS.
• Experience deploying or managing OpenAI/Vertex AI integrations.
• Knowledge of healthcare data standards and privacy regulations (e.g., FHIR, HIPAA).
• Experience with Databricks, Spark, or similar distributed data platforms.
• Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab)

Compensation: $150,000.00