A.I. Developer

Position Overview:

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.

Key Responsibilities:

AI Development & Implementation:

• 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.

Infrastructure & Integration:

• 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.

Security & Compliance:

• 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.

Collaboration & Optimization:

• 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.

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.

Preferred Qualifications:

• 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.

What We Offer:

• 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.