Drillo.AI
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a contract basis, remote. Requires 3-6 years in AI/ML engineering, strong Python/TypeScript skills, AWS experience, and healthcare AI solutions expertise. Pay rate and contract length are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
October 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Compliance #ML (Machine Learning) #TypeScript #Data Engineering #SageMaker #AI (Artificial Intelligence) #Computer Science #AWS Lambda #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #Langchain #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Python
Role description
AWS Agentic AI Engineer / Developer (Agentic AI Implementation)
Location : Remote
Employment Type : Contract
Only for GC/US Citizens
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
Only for GC/US Citizens
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.
