Generative AI Engineer- AI​/RAG

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Job Title:

Software Engineer - AI/RAG

Required Qualifications:

• 5 years of relevant experience required.
• Experience in Semantic Search, data processing, Data & Analytics, Data pipeline.
• Experience in OOP in Python/Scala/Java programming with expert-level development skills.
• Hands-on experience and knowledge of generative AI RAG processes for various use cases, including chunking, embedding, retrieval, reranking, and summarization.
• Hands-on experience in application development in one or more areas:
  MongoDB, Redis, Angular/React Frameworks, Containerization, Building API-based applications leveraging FastAPI services, JWT Integration, API Gateway.
• Develop efficient utilities, automation frameworks, and data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI work.
• Experience with AI/ML/GenAI Lifecycle Management and Development and its ecosystem. Hands-on experience building frameworks using MLOps, Fine-Tuning techniques, and Inference Frameworks.
• Building API-based applications leveraging FastAPI services, JWT Integration, API Gateway.
• Working in large-sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g., VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD), and Continuous Testing.
• Hands-on Dev Ops experience with one or more of the following enterprise development tools:
  Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (Sonar Qube and pytest Unit Testing), Artifact Management (Artifactory), and Deployment (Ansible).

Position Summary

• This position is focused on the design, build, and operation of reusable toolkits for Gen AI RAG capabilities.
• This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional, and compliance requirements, and that solutions are well designed with maintainability/ease of integration and testing built in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry, as well as design and architectural patterns.

Responsibilities:

• Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained.
• Mentors other software engineers and coaches the team on Continuous Integration and Continuous Development (CI-CD) practices and automating the tool stack.
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle.
• Performs spikes/proof of concept as necessary to mitigate risk or implement new ideas.
• Automates manual release activities.
• Designs, develops, and maintains automated test suites (integration, regression, performance).
• Performs Continuous Integration and…