Urgent opening of multiple projects with a Healthcare client – New York, NY -Long term

Hello Team,

I hope you're doing well.

This is Manish from Marencor. We have an exciting opportunity with our client. Please review the job description below and let me know if you are interested. Please share your updated resume

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UI/UX Designer

 Location: New York, NY

Role Summary:

Design intuitive user interfaces that make complex AI/ML outputs and GenAI agents usable, trustworthy, and clinically relevant.

 Responsibilities:

• Conduct user research and contextual inquiries with clinicians, staff, and administrators
• Design UX for summarization panels, prompt workflows, and agent feedback interfaces
• Ensure ADA/WCAG 2.1 accessibility in all designs
• Support visualization of model confidence, explainability, and agent decisions
• Prototype interfaces for AI copilots, voice assistants, and decision support overlays

Required Qualifications:

• 6+ years in UI/UX design
• Experience designing interfaces for AI/ML products or healthcare workflows

Preferred Qualifications:

• Experience with GenAI or chatbot UI/UX
• Familiarity with LLM design affordances, such as user clarification flows, prompt traceability, and fail-safe actions

Full Stack Software Developer

 Location: New York, NY

 Role Summary:

Develop secure, accessible, and scalable user interfaces and APIs that interact with ML and GenAI systems.

 Responsibilities:

• Build responsive UIs using React + TypeScript + TailwindCSS
• Develop scalable APIs (Node.js/Python) to expose AI and GenAI services
• Integrate vector search and summarization services into front-end experiences
• Log and visualize agent decisions, output confidence, and model metadata
• Secure prompt flows and user-generated inputs in GenAI interfaces
• Embed clinician feedback and override workflows into GenAI-powered systems

 Required Qualifications:

• 7+ years full-stack experience
• Proficiency in frontend frameworks and backend API development
• Experience with Snowflake APIs and OAuth-secured endpoints

 Preferred Qualifications:

• Experience deploying GenAI copilots into enterprise apps

Familiarity with secure GenAI design patterns and observability hooks

QA Engineer (AI Applications)

 Location: New York, NY

 Role Summary:

Ensure functional, secure, and compliant performance of AI-powered applications including classic ML, GenAI, and agentic systems.

Responsibilities:

• Build automated test suites for APIs, data pipelines, and front-end applications
• Validate model inputs/outputs and create synthetic test datasets
• Use AppDynamics and telemetry for live testing of AI model endpoints
• Test LLM prompt stability, hallucination edge cases, and multi-turn conversation flows
• Design failure scenarios and retry logic validation for agent-based applications
• Test token usage policies, latency thresholds, and fallback behaviors

 Required Qualifications:

• 3+ years in QA for data systems or ML products
• Experience with PyTest, Postman, AppDynamics, and CI/CD test frameworks

 Preferred Qualifications:

• Familiarity with LLM evaluation metrics and prompt tuning techniques
• Experience validating models integrated with Epic or EHR apps

AI/ML Data Scientist

 Location: New York, NY

 Role Summary:

Develop and evaluate machine learning and GenAI models to drive clinical, operational, or financial insights from healthcare data.

 Responsibilities:

• Train supervised and unsupervised models using Python (XGBoost, LightGBM, sklearn, PyTorch)
• Conduct data profiling, feature engineering, model evaluation using stratified validation
• Implement model explainability (SHAP, LIME) and bias audits
• Monitor model drift, fairness, and clinical relevance over time
• Fine-tune or prompt LLMs for use cases such as summarization or information extraction
• Build and evaluate multi-agent workflows using GenAI and frameworks like LangChain
• Design prompt libraries and benchmark hallucination rates, sensitivity to input phrasing
• Track experiments using MLflow, Weights & Biases

 Required Qualifications:

• 3–5 years in applied data science or machine learning
• Experience with Snowflake SQL, Python ML ecosystem, healthcare data

 Preferred Qualifications:

• Exposure to Epic Clarity data or unstructured clinical notes
• Hands-on with transformer models, LLM APIs, and embedding-based retrieval

AI/ML Architect (AI Solutions Architect)

 Location: New York, NY

Role Summary:

Design the architecture for deploying scalable, observable, and compliant AI/ML solutions integrated with clinical workflows and hospital data platforms.

Responsibilities:

• Architect end-to-end ML pipelines using Airflow, and MLFlow or Vertex AI
• Build containerized model inference systems deployed on Kubernetes with AppDynamics and observability
• Full ownership of model lifecycle: development, deployment, drift monitoring
• Proficient with GCP Vertex AI, Azure ML, container orchestration (K8s, Docker)
• Design architecture to support GenAI workloads (LLMs, embeddings) using Vertex AI or Azure OpenAI
• Define governance and guardrails for deploying agentic systems in clinical workflows
• Design real-time inference services integrated with Epic via FHIR APIs
• Ensure HIPAA-compliant encryption, access controls, and audit trails
• Implement MLOps patterns: model versioning, rollback, shadow testing
• Define architecture for RAG (retrieval augmented generation) systems using vector databases (e.g., FAISS, Pinecone)
• Deploy LLM-based agents and secure GenAI pipelines (prompt injection protection, moderation, output fallback)
• Support agentic AI orchestration with frameworks like LangChain, CrewAI

 Required Qualifications:

• 8+ years in data/ML or AI architecture roles
• Deep knowledge of Kubernetes, Docker, Snowflake, cloud-native tools (GCP, Azure)
• Experience with HIPAA-regulated, real-time model deployment

 Preferred Qualifications:

• Experience integrating with Epic, HL7, FHIR, and SMART-on-FHIR
• Working knowledge of LLMs, GenAI tools, LangChain, Weaviate or ChromaDB

Data/AI/ML Integration Developer

 Location: New York, NY

Role Summary:

Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

Responsibilities:

• Develop APIs and microservices in Python (FastAPI) and Node.js
• Build ETL/ELT pipelines using Airflow/dbt from Epic EHR into Snowflake or similar
• Integrate with real-time streaming tools (Kafka, GCP Pub/Sub) and FHIR APIs
• Ensure encryption in transit, data lineage, and access control compliance (OAuth2, RBAC)
• Build hybrid search and RAG workflows across clinical corpora
• Manage vector database operations (e.g., Pinecone/Weaviate) for GenAI search augmentation
• Integrate with orchestration layers for multi-agent systems using LangChain, CrewAI

Required Qualifications:

• 4+ years in backend/data integration roles
• Hands-on with FHIR/HL7 APIs, dbt, Snowflake, and containerized services

 Preferred Qualifications:

• Healthcare interoperability experience
• Integration of LLM endpoints (OpenAI, Vertex AI) and model-serving APIs

AI Product Manager

 Location: New York, NY

 Role Summary:

Define and lead the roadmap for AI and GenAI products aligned with hospital priorities, regulatory standards, and user needs.

 Responsibilities:

• Define success metrics, scope, and requirements for AI use cases
• Align product delivery to clinical workflows, hospital ops, and digital front door initiatives
• Manage pilots, clinician validation, and go-live enablement for AI solutions
• Define GenAI product opportunities (e.g., ambient documentation, clinical summarization, intelligent assistants)
• Evaluate and prioritize agentic AI workflows that automate repetitive or manual hospital functions
• Collaborate on guardrails and ethics frameworks for GenAI deployment
• Work closely with AI leads and cloud architects to support scalable design

 Required Qualifications:

• 5+ years in product roles, 2+ in AI/ML
• Familiarity with HIPAA, SaMD, EHR integration, and agile product management

 Preferred Qualifications:

• Experience in launching LLM-enabled co-pilots or healthcare chat agents
• Working knowledge of LangChain, OpenAI APIs, prompt management tools

 Thanks and regards.