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Job Details

Skills

Databricks
Amazon Bedrock AgentCore
Bedrock Guardrails
LangGraph

Summary

Role: AI Engineer

Location: Remote

Duration: 12 + Months

Domain: Healthcare / Medicaid

Technology Focus: AWS Bedrock, Agentic AI, Python, Databricks

Role Summary

We are looking for a hands-on AI Engineer to build enterprise Generative AI and Agentic AI capabilities for a healthcare analytics platform. The engineer will work closely with the AI Architect to implement conversational AI, agent workflows, governed enterprise-data access, and production-ready integrations using AWS Bedrock.

Key Responsibilities

Build Generative AI and Agentic AI capabilities using AWS Bedrock.
Develop AI agents, multi-step workflows, tool/function calling, and orchestration components.
Implement prompt engineering, context management, RAG/grounding, and response-validation patterns.
Integrate AI services with enterprise APIs, structured data sources, Databricks, and Unity Catalog.
Support natural-language interaction with enterprise data, including conversational analytics and NL-to-SQL use cases.
Implement secure data-access patterns, guardrails, retry/fallback handling, logging, and observability.
Work with the AI Architect, ReactJS developers, QA, and client technical teams to deliver end-to-end AI use cases.
Support healthcare security and privacy requirements, including PHI/PII protection and role-based access.
Participate in technical design, code reviews, troubleshooting, testing, and production-readiness activities.

Must-Have Skills

Strong hands-on experience with AWS Bedrock.
Hands-on experience building Generative AI / LLM applications.
Experience with Agentic AI, AI agents, and tool/function calling.
Strong Python development skills.
Prompt engineering, context engineering, RAG, and grounding techniques.
REST API and enterprise integration experience.
Experience working with structured enterprise data and SQL.
Understanding of AI security, scalability, monitoring, and production deployment.
Strong debugging, problem-solving, and technical communication skills.

Preferred Skills

Databricks and Unity Catalog experience.
Experience leveraging Unity Catalog as a context / metadata plane for AI systems.
Experience using Databricks Medallion Architecture as the governed data source for AI applications.
LangGraph or a similar agent orchestration framework.
Amazon Bedrock AgentCore and Bedrock Guardrails.
MCP (Model Context Protocol) and enterprise tool integration.
Natural Language-to-SQL / conversational analytics.
Vector databases, semantic search, AI observability, and model evaluation.
Healthcare / Medicaid / Pharmacy or other regulated-domain experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91009863
Position Id: 9085269
Posted 6 hours ago

Company Info

About Logging-In

Logging-in.com, Inc. is a Michigan registered Incorporation established in 2011. We are in Farmington Hills, Michigan, which is a suburban of Detroit. We also have office in UK,India and Dubai. Loggign-in.com, Inc. specializes in providing a broad range of Information Technology and Non-Information Technology solutions and services, which includes In-house and/or on-site project handling of full life cycle implementation, upgrades & installations, project management, application consulting, customization & custom development, database administration, training & process documentation, and post-production support.

As a leading provider of these services, our goal is to plan, manage, and implement quality ANDROID development/ MECHANICAL/ EMBEDDED SOFTWARE/ QUALITY/ VALIDATION/ ELECTRONICS /ELECTRICAL for Non-IT servicesand SAP/ WEBSITE/ IoS/ DeVops/ JAVA solutions for IT and solutions with a single vision to thrive in the face of continuous change in this fast-paced Automotive industry and Software world.

Job Details

Skills

Databricks
Amazon Bedrock AgentCore
Bedrock Guardrails
LangGraph

Summary

Role: AI Engineer

Location: Remote

Duration: 12 + Months

Domain: Healthcare / Medicaid

Technology Focus: AWS Bedrock, Agentic AI, Python, Databricks

Role Summary

Key Responsibilities

Build Generative AI and Agentic AI capabilities using AWS Bedrock.
Develop AI agents, multi-step workflows, tool/function calling, and orchestration components.
Implement prompt engineering, context management, RAG/grounding, and response-validation patterns.
Integrate AI services with enterprise APIs, structured data sources, Databricks, and Unity Catalog.
Support natural-language interaction with enterprise data, including conversational analytics and NL-to-SQL use cases.
Implement secure data-access patterns, guardrails, retry/fallback handling, logging, and observability.
Work with the AI Architect, ReactJS developers, QA, and client technical teams to deliver end-to-end AI use cases.
Support healthcare security and privacy requirements, including PHI/PII protection and role-based access.
Participate in technical design, code reviews, troubleshooting, testing, and production-readiness activities.

Must-Have Skills

Strong hands-on experience with AWS Bedrock.
Hands-on experience building Generative AI / LLM applications.
Experience with Agentic AI, AI agents, and tool/function calling.
Strong Python development skills.
Prompt engineering, context engineering, RAG, and grounding techniques.
REST API and enterprise integration experience.
Experience working with structured enterprise data and SQL.
Understanding of AI security, scalability, monitoring, and production deployment.
Strong debugging, problem-solving, and technical communication skills.

Preferred Skills

Databricks and Unity Catalog experience.
Experience leveraging Unity Catalog as a context / metadata plane for AI systems.
Experience using Databricks Medallion Architecture as the governed data source for AI applications.
LangGraph or a similar agent orchestration framework.
Amazon Bedrock AgentCore and Bedrock Guardrails.
MCP (Model Context Protocol) and enterprise tool integration.
Natural Language-to-SQL / conversational analytics.
Vector databases, semantic search, AI observability, and model evaluation.
Healthcare / Medicaid / Pharmacy or other regulated-domain experience.

Dice Id: 91009863
Position Id: 9085269
Posted 6 hours ago

Company Info

About Logging-In

React JS Developer (Health Care Exp Mandatory)

Remote

•

Today

Role: React JS Developer Duration: 12 + Months Location: Remote Role Summary We are looking for an experienced ReactJS Developer to build and integrate AI-powered user experiences into an existing enterprise healthcare portal. The developer will work closely with AI, backend, and QA teams to implement conversational, alerting, analytics, and insight/drill-down experiences. Key Responsibilities Develop responsive, reusable portal components using ReactJS and TypeScript.Build AI-enabled user exper

Easy Apply

Third Party, Contract

$40 - $50

AI Engineer (Health Care Exp Mandatory)

Skills

Summary

Dice Job Match Score™

Sai Kiran

Similar Jobs

AI Engineer (Health Care Exp Mandatory)

Logging-In

Job Details

Skills

Summary

Company Info

About Logging-In

Dice Job Match Score™

Sai Kiran

Similar Jobs