Software Engineer - AI/RAG

About the Company 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 this video. Photon is an equal opportunity employer and values 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. About the Role 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 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 and design and architectural patterns. Responsibilities Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirementsDesigns, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintainedMentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stackExecutes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecyclePerforms spike/proof of concept as necessary to mitigate risk or implement new ideasAutomates manual release activitiesDesigns, develops, and maintains automated test suites (integration, regression, performance)Performs Continuous Integration and Continuous Development (CI-CD) activitiesContributes to story refinement and definition of requirementsParticipates in estimating work necessary to realize a story/requirement through the delivery lifecycleManage multiple priorities, and simultaneously engage with multiple teamsBe vocal and actively participate in all session with business stakeholders and agile teamsCollaborate with product teams, data analysts and data scientists to design and build solutionsUtilizes multiple architectural components (across data, application, business) in design and development of client requirements Qualifications 5 years of relevant experience requiredExperience in Semantic Search, data processing, Data & Analytics, Data pipelineExperience in OOP in Python/Scala/Java programming experience with expert level development skillsHands on experience and knowledge generative AI RAG process for various use cases, including chunking, embedding, retrieval, reranking and summarizationHands-on experience in application development in one or more areas MongoDB, Redis, Angular/React Frameworks, Containerization, Building API based application leveraging FAST API services, JWT Integration, API GatewayDevelop efficient utilities, automation frameworks, data science platforms that can be utilized across multiple Data Science teams for AI/ML and GenAI workExperience with AI/ML/GenAI Lifecycle Management and Development and its EcosystemHands on experience building frameworks using MLOps, Fine – Tuning techniques, Inference FrameworksBuilding API based application leveraging FAST API services, JWT Integration, API GatewayWorking 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 TestingHands-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)