Description

You will design and implement agent-based AI workflows and full-stack applications across healthcare, manufacturing, and finance domains.

This role is remote.

Responsibilities

• Design agentic AI architectures for healthcare, manufacturing, and financial use cases, including multi-agent orchestration and RAG systems.
• Develop classical ML models for risk scoring, prediction, and anomaly detection, integrating LLMs with sensor and ERP data.
• Build HIPAA-compliant AI systems with auditability, deploying and optimizing models in Azure.
• Create full-stack applications with Python APIs, UI dashboards, and integrations for EHRs, FHIR/HL7, and data lakes.
• Collaborate with subject-matter experts to translate complex medical and business workflows into functional agent logic.

Required Skills

• 8+ years of hands-on experience building production AI systems using Python.
• 8+ years of experience with GenAI, including LLMs, RAG, embeddings, and prompt engineering.
• 5+ years of full-stack experience, including API design and UI integration.
• 5+ years of Azure cloud experience, specifically Azure ML, Azure OpenAI, Functions, and AKS.
• Experience with traditional ML techniques such as classification, regression, NLP, and time-series analysis.
• Ability to work in regulated domains, ensuring compliance and explaining AI decisions to non-technical stakeholders.
• Bachelor’s degree in Computer Science or equivalent work experience.

Preferred Skills

• Experience with AWS, GCP, or NVIDIA AI stack.
• Knowledge of model governance, explainability, and document intelligence pipelines.
• Exposure to multiple domains beyond healthcare, manufacturing, or finance.

Key Skills

Education

Any Gradute