Senior AWS AI Engineer

# Senior AWS AI Engineer ## Company Overview Abbasoft is a pioneering company specializing in Agentic AI and Cloud Solutions, committed to developing innovative technologies that enhance the efficiency and quality of healthcare data processing. ## Job Summary 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. ## Responsibilities - 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 large language model (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. ## Qualifications - **Educational Background**: Bachelor’s degree in Computer Science, Engineering, or a related technical field. - **Experience**: 3–6 years of hands-on experience in AI/ML engineering, specifically in LLM-based or agentic AI development and deployment. - **Programming Skills**: Strong skills in Python and/or TypeScript. - **Framework Expertise**: Practical experience with agentic AI frameworks such as LangChain, LlamaIndex, or AutoGen. - **AWS Knowledge**: Solid understanding of AWS AI services including Bedrock, SageMaker, Textract, and Comprehend Medical. - **API and System Design**: Proven experience in API development and integration, along with designing event-driven system architectures. - **Healthcare Insight**: Knowledge of healthcare or Life Sciences domains, including regulatory compliance requirements (HIPAA, GDPR, etc.), is preferred. - **Problem-Solving Skills**: Strong problem-solving mindset, with a focus on experimentation, iteration, and delivering innovative solutions rapidly. ## Preferred Skills - 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. ## Experience 3–6 years of relevant experience in AI/ML engineering and LLM-based development. ## Environment The position is designed as a freelance role, allowing for flexibility in location. ## Salary Salary information not specified. ## Growth Opportunities Career advancement opportunities may exist within the company as projects and technologies evolve. ## Benefits Benefits information not specified.