aws ai engineer

6 days ago

Cochin, Kerala, India Aabasoft Full time ₹ 8,00,000 - ₹ 24,00,000 per year

We are seeking talented AWS AI Engineers / Developers to join our team in building innovative agentic AI solutions. This role focuses on implementing intelligent, automated workflows that enhance clinical data processing and decision-making, leveraging the power of AWS services and cutting-edge open-source AI frameworks. Experience in healthcare or Life Sciences, with a strong focus on regulatory compliance, is highly desirable.

Requirements
    • Design, develop, and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation to enhance data quality and reliability.
  • Build and integrate LLM-powered agents using AWS Bedrock in combination with open-source frameworks like LangChain and AutoGen.
  • Create robust, event-driven pipelines leveraging AWS Lambda, Step Functions, and EventBridge for seamless orchestration of data and processes.
  • Optimize prompt engineering techniques, implement retrieval-augmented generation (RAG), and facilitate efficient multi-agent communication.
  • Integrate AI agents securely with external applications and services through well-defined, secure APIs.
  • Collaborate with Data Engineering teams to design and maintain PHI/PII-safe data ingestion pipelines, ensuring compliance with privacy regulations.
  • Continuously monitor, test, and fine-tune AI workflows focusing on improving accuracy, reducing latency, and ensuring compliance with industry standards.
  • Document solutions and contribute to the establishment of best practices and governance frameworks.
What we Expect from you?
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 3–6 years of hands-on experience in AI/ML engineering, with specific expertise in LLM-based or agentic AI development and deployment.
  • Strong programming skills in Python and/or TypeScript.
  • Practical experience with agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen.
  • Solid understanding of AWS AI services including Bedrock, SageMaker, Textract, and Comprehend Medical.
  • Proven experience in API development and integration, as well as designing event-driven system architectures.
  • Knowledge of healthcare or Life Sciences domains, including regulatory compliance requirements (HIPAA, GDPR, etc.), is preferred.
  • Strong problem-solving mindset, with a focus on experimentation, iteration, and delivering innovative solutions rapidly.
What you've got?
  • Effective communication and collaboration skills, with the ability to work closely with cross-functional teams.
  • Passion for emerging AI technologies and cloud innovations.
  • Prior exposure to clinical or life sciences data workflows is a strong advantage.

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