AIML Engineer

Job Summary

As a AIML
Engineer, you will independently design, develop, and maintain APIs that
integrate AI and ML capabilities. You will take ownership of implementing
Generative AI solutions, manage deployment processes, and adhere to best
practices in system design and security.

Key Responsibilities

●      API Development: Independently design,
develop, and maintain APIs using Python and frameworks such as FastAPI, Flask,
or Django.

●      Testing Implementation: Develop and execute
unit tests, integration tests, and performance tests to ensure API reliability
and efficiency.

●      GenAI Integration: Implement Generative AI
technologies, utilizing tools like Langchain, LlamaIndex, or the OpenAI Python
SDK to develop and deploy AI -driven features.

●      Deployment Management: Deploy Docker -based
applications using Kubernetes, Helm, and Docker Compose, ensuring scalability
and reliability without extensive oversight.

●      Cloud Services Utilization: Effectively
leverage Azure AI services (e.g., Azure Document Intelligence, Azure AI Search)
to enhance application capabilities.

●      System Design: Design concurrent and scalable
systems with a focus on asynchronous programming to handle high traffic and
large data volumes.

●      DevOps Integration: Manage and optimize CI/CD
pipelines using Azure DevOps, ensuring seamless integration and deployment
processes.

●      Scripting and Automation: Develop and maintain
batch, shell, or PowerShell scripts to automate tasks and enhance workflow
efficiency.

●      Security Practices:

○      Implement security best practices
for product development and compute resources.

○      Ensure secure configurations and
deployments within AKS, including Role -Based Access Control (RBAC).

○      Manage authentication and
authorization mechanisms using OAuth, Okta, or Auth0.

●      Collaboration and Communication: Work
effectively with cross -functional teams, communicate progress and challenges,
and contribute to a collaborative team environment.

Requirements

●      Education: Bachelor’s degree in Computer
Science, Engineering, or a related field.

●      Experience: Total 2 -5 Years

○      1 -3 years of experience in API development and
AIML integration, or relevant internships/projects.

●      Technical Skills:

○      Python: Strong proficiency in Python
programming.

○      Frameworks: Proficient in FastAPI; experience
with Flask or Django is a plus.

○      Testing: Experience with unit testing,
integration testing, and performance testing methodologies.

○      GenAI Knowledge: Good understanding of
Generative AI and its use cases; proficiency in Langchain, LlamaIndex, or
OpenAI Python SDK is advantageous.

○      Containerization & Orchestration: Knowledge of Kubernetes for deploying Docker -based applications, including Helm
for managing Kubernetes applications. Experience with Docker Compose is a plus.

○      Cloud Expertise: Familiarity with Azure,
specifically Azure AI services such as Azure Document Intelligence and Azure AI
Search.

○      System Design: Ability to design concurrent
and scalable systems with a focus on asynchronous programming.

○      DevOps Tools: Experience with Azure DevOps for
CI/CD pipelines is a plus.

○      Scripting: Proficiency in batch scripting,
shell scripting, or PowerShell.

○      Security: Knowledge of OAuth, Okta, and Auth0
for authentication and authorization; understanding of RBAC in AKS is a plus.