A.I. Developer

Mindset
10hRemote

About The Position

We are seeking a highly skilled and motivated AI Engineer to support and enhance our AI/ML development efforts. The ideal candidate will have extensive experience in machine learning model development, AI-driven applications, and a strong background in deploying AI solutions efficiently and securely. This role is critical in driving innovation, ensuring scalability, and optimizing AI-powered features within our platform.

Requirements

  • Proven experience as an AI Engineer or Machine Learning Engineer.
  • Able to work efficiently with Python and popular AI frameworks like LangGraph/LangChain
  • Proficiency in TensorFlow, PyTorch, or similar ML frameworks.
  • Experience with AWS SageMaker, Lambda, Kubernetes (EKS), and CI/CD pipelines.
  • Strong understanding of NLP, deep learning, and model optimization techniques.
  • Experience supporting development teams using React, .NET, SQL Server, and Databricks.
  • Knowledge of version control systems like GitHub and CI/CD automation.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Nice To Haves

  • AWS certifications (e.g., AWS Certified Machine Learning Specialty, AWS Certified Solutions Architect).
  • Experience with infrastructure as code (IaC) tools like Terraform or AWS CloudFormation.
  • Familiarity with Kafka, Redis, and OpenSearch for AI-driven applications.
  • Understanding of automated testing and deployment.

Responsibilities

  • Design, develop, and deploy AI/ML models to enhance our platform’s capabilities, ensuring scalability, reliability, and performance.
  • Work with Agents, Prompt Engineering, Swarms, Transformers, Retrieval-Augmented Generation (RAG) systems, and other advanced AI concepts to power innovative solutions, ensuring scalability and performance.
  • Leverage AWS SageMaker, Databricks (Lakehouse), and ETL pipelines to build, train, and deploy robust end-to-end machine learning pipelines.
  • Implement NLP models for processing both structured and unstructured data, focusing on Social Security Disability applications.
  • Optimize and fine-tune machine learning models to achieve high accuracy, low latency, and efficient resource utilization.
  • Stay current with leading AI frameworks and communities, such as LangChain, LangGraph, and HuggingFace to accelerate development of advanced language-based solutions, leverage open-source innovation, and integrate best practices into our AI/ML workflows.
  • Deploy AI models within cloud-based environments, leveraging AWS services such as Lambda, AppRunner, SageMaker, and Kubernetes (EKS).
  • Ensure seamless integration of AI solutions with our existing Python, React, .NET, and SQL Server-based applications.
  • Utilize Redis (ElastiCache), OpenSearch, and DynamoDB for AI-driven data storage and retrieval.
  • Ensure AI applications adhere to HIPAA and SOC 2 compliance requirements.
  • Manage IAM roles, permissions, and security groups to maintain secure access to AI resources.
  • Work closely with cross-functional teams, including Data Engineers, Software Developers, and DevOps Engineers.
  • Continuously improve AI development and deployment processes, enhancing efficiency and reliability.
  • Research and implement cutting-edge AI advancements to enhance our platform’s capabilities.

Benefits

  • Competitive salary and benefits package.
  • Remote work environment with flexible scheduling.
  • Opportunities for professional growth and development.
  • A collaborative and inclusive work culture.
  • The opportunity to make a positive impact in the mental health care industry.
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