Generative AI Engineer

Generative AI Engineer

You will join a team driving innovation in Artificial Intelligence. This position involves building the next generation of Generative AI platforms to support new AI projects. This is an opportunity to build a secure, scalable, and high-performance system that will power AI solutions. You will design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG) on projects that meet the organization's operational goals.

Key Responsibilities

• Design, build, and manage reusable tools for Generative AI and Retrieval-Augmented Generation (RAG).
• Ensure software meets all functional, non-functional, and compliance requirements and is easy to maintain, integrate, and test.
• Collaborate with other teams to deliver reliable and innovative solutions that advance the organization's AI strategy.
• Develop efficient utilities, automation frameworks, and data science platforms for AI/ML and GenAI work.
• Work in large teams to collaboratively develop on a shared multi-repo codebase using IDEs, Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing.
• Build and deploy a Gen AI inferencing platform with open-source toolsets, and build inferencing servicing capabilities for RAG/MCP use cases.
• Drive and maintain a culture of quality, innovation, and experimentation.
• Research new tools and capabilities for advanced analytics platforms, create quick prototypes, and demonstrate features.

Required Qualifications

Experience:

• 3+ years of object-oriented programming in Python with expert-level development skills.
• Experience with the AI/ML/GenAI lifecycle, development, and its ecosystem, including hands-on experience building frameworks using MLOps, fine-tuning techniques, and inference frameworks.
• Hands-on experience and knowledge of the generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking, and summarization.
• Expertise in application development in one or more areas:
  MongoDB, Redis, Angular/React Frameworks, Containerization, building API-based applications leveraging FAST API services, JWT Integration, and API Gateway.
• Hands-on Dev Ops experience with tools such as Git/Bitbucket, Jenkins, Sonar Qube, pytest, Artifactory, and Ansible.

Technical

Skills:

• Python
• MongoDB
• Node.js

Professional

Skills:

• Ability to adhere to processes and demonstrate efficiency in handling project tasks.
• Aptitude for connecting details to resolve complex infrastructure issues quickly.
• Self-motivated and results-oriented with analytical and problem-solving skills.
• Interpersonal, presentation, and communication skills.