Generative AI Engineer- AI/ RAG

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out https://youtu.be/uJWBWQZEA6o.

Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.

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 DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube 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 Continuous Development (CI-CD) activities.

• Contributes to story refinement and definition of requirements.

• Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle.

• Manages multiple priorities and simultaneously engages with multiple teams.

• Is vocal and actively participates in all sessions with business stakeholders and agile teams.

• Collaborates with product teams, data analysts, and data scientists to design and build solutions.

• Utilizes multiple architectural components (across data, application, business) in the design and development of client requirements.

Desired Qualifications

• Experience developing Gen AI training and RAG platforms with open-source models, inferencing & servicing capabilities, MCP modules, etc.