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Metro location and mid-seniority increase competition, but niche Bedrock/LangChain skills narrow applicant pool.
Core AI engineering skills are transferable, though clinical trial domain experience slightly favors healthcare applicants.
Specific cloud AI, orchestration, vector DBs, and senior experience make the role highly filter-driven.
Design and deploy scalable AI-powered applications and model orchestration workflows on AWS cloud platforms, specifically AWS Bedrock.
Develop and maintain secure, high-performance APIs and microservices using Python, Java, or Node.js.
Optimize AI application performance and mentor junior engineers while collaborating with product teams to build AI agents.
Bachelor's or master's degree in computer science, engineering, or related field.
Hands-on experience with AWS Bedrock including model evaluation and agent setup.
Strong software engineering skills in Python, Java, or Node.js and experience with Vector Databases and SQL/NoSQL systems.
Work Experience Required: 5-8 years.
Experienced in deploying AI foundation models and orchestrating complex prompt workflows using frameworks like LangChain or Hugging Face.
Proficient in cloud-native application architecture and CI/CD processes including Docker, Kubernetes, and Git workflows.
Capable of optimizing AI system performance and cost while leading engineering best practices and mentoring teams.