Generative AI Engineer

4 weeks ago

Dallas, United States New York Technology Partners Full time

Job Requirements:

10 years of hands-on IT experience in programing.

Must have Experience in Python , React, Typescript, AWS, Cloud, Kubernetes, Docker, ARM Templates, SaaS , Infrastructure as Code, Automation,

Preferred Experience with Models like AWS Bedrock, Anthropic . OpenAI with LLMs like Chatgpt-4-turbo

At least 4+ years of experience hands on experience in architecture design, implementation of distributed, fault tolerant enterprise applications.

GenAI Stack Proficiency Deep understanding of the GenAI Stack including its architecture components and capabilities Familiarity with the entire AI development lifecycle from data preparation and model training to deployment and monitoring

Bedrock/ OpenAIexpertises in the AI platform for MLOps Machine Learning Operations Proficiency in leveraging Bedrock's APIs tools and frameworks to streamline AI model development deployment and management processes

Machine Learning and AI Algorithms Strong grasp of machine learning algorithms deep learning techniques and AI model development methodologies Ability to select and implement appropriate algorithms based on the problem domain and data characteristics

Programming Skills Proficiency in programming languages commonly used in AI development such as Python and Ability to write clean efficient and maintainable code for implementing AI models integrating with Bedrock APIs and building custom applications

Experience in java programming languages Java, Spring Boot, EJB ,SOAP Web Services

Hand on with ReactJS and Typescript.

3+ Years of development experience in Java and ReactJS

3+ Proven experience using AWS services in architecting PaaS solutions.

Hands on experience in AWS services i.e. EC2, ECS, EKS, S3, Lambda, EKS, SQS, SNS, RDS. API gateway, Aurora, VPC, Route 53, cloud front, Cloud Watch, AWS SDK/CLI , AWS Glue etc.

Experience automation and provisioning of cloud environments using API's, CLI and scripts.

Experience in deploy, manage and scale applications using Cloud Formation/ AWS CLI.

Containerization and Orchestration Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes Ability to containerize AI applications manage their lifecycle and ensure scalability and reliability using container orchestration

8 DevOps and MLOps Practices Understanding of DevOps principles and MLOps practices for automating AI model development and deployment pipelines Experience in implementing CI CD workflows version control and infrastructure as code IaC using tools like Azure DevOps and GitHub Actions

9 API Design and Integration Knowledge of RESTful API design principles and experience in building and consuming APIs for integrating AI models with other systems and services Ability to design scalable and efficient API interfaces for exposing AI functionalities in Bedrock / OpenAI

Experience in working with hibernate or other ORM technologies along with JPA

Experience in working on frontend technologies - Bootstrap, HTML5, CSS3, React

Experience in modernization of legacy applications to modern java applications

Good knowledge on migrating on premise applications to AWS IaaS

Good knowledge of AWS IaaS (AMI, Pricing Model, VPC, Subnets etc.)

Good understanding of AWS Security best practices

Creating, deploying, configuring and scaling applications on AWS PaaS

Experience in DevOps tool Jenkins/Bamboo, Git, Maven/Gradle, Jira, SonarQube, Junit, Selenium, Automated deployments, and containerization

Knowledge on relational database and no SQL databases i.e., MongoDB, Cassandra etc.

Data Engineering Knowledge of data engineering concepts and tools for data preprocessing feature engineering and pipeline orchestration Experience in working with large scale datasets and data processing frameworks like Apache Spark

Experience in full life-cycle agile software development

Strong analytical & troubleshooting skills

Knowledge/ Experience with Gen AI concepts & frameworks & Gen AI driven analytics

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