A.I. Developer

Mindset

10h•Remote

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.