Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a contract basis, focusing on agentic AI implementation in healthcare. Requires 3–6 years of AI/ML experience, strong Python/TypeScript skills, and familiarity with AWS services. Remote work available.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Remote
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #Compliance #Langchain #SageMaker #TypeScript #ML (Machine Learning) #AWS Lambda #Data Engineering #AI (Artificial Intelligence) #API (Application Programming Interface) #Python #"ETL (Extract #Transform #Load)" #Computer Science #AWS (Amazon Web Services)
Role description
AWS Agentic AI Engineer / Developer (Agentic AI Implementation)
Location : Remote
Employment Type : Contract
Responsibilities
- Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
- Build and integrate LLM-powered agents using AWS Bedrock + open-source frameworks (LangChain, AutoGen).
- Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge.
- Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication.
- Integrate AI agents with external systems through secure APIs.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred
- Collaborate with data engineers for PHI/PII-safe ingestion pipelines.
- Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance.
Qualifications
- Bachelor’s in computer science, Engineering, or related field.
- 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development.
- Strong coding skills in Python/TypeScript and experience with LangChain, LlamaIndex, or AutoGen.
- Familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend Medical).
- Experience in API integrations and event-driven architectures.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred
- Problem-solving mindset with ability to experiment and iterate quickly.
AWS Agentic AI Engineer / Developer (Agentic AI Implementation)
Location : Remote
Employment Type : Contract
Responsibilities
- Implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
- Build and integrate LLM-powered agents using AWS Bedrock + open-source frameworks (LangChain, AutoGen).
- Develop event-driven pipelines with AWS Lambda, Step Functions, and EventBridge.
- Optimize prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication.
- Integrate AI agents with external systems through secure APIs.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred
- Collaborate with data engineers for PHI/PII-safe ingestion pipelines.
- Monitor, test, and fine-tune AI workflows for accuracy, latency, and compliance.
Qualifications
- Bachelor’s in computer science, Engineering, or related field.
- 3–6 years in AI/ML engineering with hands-on LLM/agentic AI development.
- Strong coding skills in Python/TypeScript and experience with LangChain, LlamaIndex, or AutoGen.
- Familiarity with AWS AI services (Bedrock, SageMaker, Textract, Comprehend Medical).
- Experience in API integrations and event-driven architectures.
- Experience in healthcare/Life Sciences AI solutions with regulatory compliance preferred
- Problem-solving mindset with ability to experiment and iterate quickly.
