Job Opportunities API

Position Overview  We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2.    The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping.    Key Responsibilities  AI & Machine Learning Development  Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows  Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment  Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable  Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases  Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback  Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality    AI Integration & Automation  Integrate AI models and APIs into existing applications, platforms, and workflows  Build intelligent automation solutions that reduce manual effort and improve operational throughput  Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics  Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications  Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions    Programming & Software Engineering  Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.)  Build APIs, microservices, and data pipelines that support AI workloads at scale  Apply software engineering best practices including version control (Git), code review, testing, and CI/CD  Maintain and refactor existing codebases for performance, reliability, and maintainability  Document technical architectures, implementation decisions, and system behaviors clearly    AWS Cloud Infrastructure  Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure  Utilize AWS services including SageMaker, Lambda, EC2, S3, RDS, Bedrock, Step Functions, and API Gateway  Build scalable, cost-efficient cloud architectures that support model training, inference, and data processing  Implement infrastructure-as-code using AWS CloudFormation, CDK, or Terraform  Monitor cloud resource utilization and optimize for performance and cost  Ensure all AWS environments are configured in alignment with security and compliance requirements    HIPAA Compliance  Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules  Ensure Protected Health Information (PHI) is handled, stored, transmitted, and processed with appropriate safeguards  Implement technical controls including encryption at rest and