Software Engineer - AI/RAG

Photon; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Photon is seeking a skilled software engineer to drive complex requirements for digital experiences. You will develop architectures, mentor teams, and implement CI/CD practices while ensuring maintainability and testability across services.

Collaborate with product, data science, and analytics teams to design scalable, API-based applications using Python/Scala/Java, FAST API, and modern frameworks. This role focuses on AI/GenAI lifecycle and MLOps within a large, remote-friendly environment in

Qualifications

• 5 years of relevant experience required.
• Experience in Semantic Search, data processing, Data & Analytics, Data pipeline.
• Experience in OOP in Python/Scala/Java with expert development skills.
• Hands-on knowledge of generative AI RAG for chunking, embedding, retrieval, reranking, summarization.
• Development in MongoDB, Redis, Angular/React, containerization and FAST API with JWT & API Gateway.
• Utilities, automation frameworks, and data science platforms for AI/ML/GenAI use across teams.
• Experience with AI/ML/GenAI lifecycle management and ecosystems.
• Hands-on MLOps, fine-tuning techniques, and inference frameworks.

Responsibilities

• Codes solutions and unit tests to deliver a story meeting acceptance criteria and compliance.
• Designs and modifies architecture components and interfaces while maintaining integrity.
• Mentors engineers and coaches CI/CD practices and automation tooling.
• Performs story refinement, estimates efforts, and delivery lifecycle planning.
• Conducts spike/proofs of concept to mitigate risk and explore ideas.
• Automates release activities and maintains automated test suites.
• Participates in CI/CD and overall development lifecycle.
• Collaborates with product teams, data analysts, and data scientists.
• Engages with multiple teams to manage priorities and requirements.

Skills

OOP proficiency (Python/Scala/Java)

Mentoring/Coaching

CI/CD practices

Agile teamwork

Semantic Search / Data & Analytics

Tools

MongoDB

Redis

Angular/React

FAST API

JWT Integration

API Gateway

Containerization (Docker)

Git/Bitbucket

Jenkins

SonarQube

pytest

Artifactory

Ansible

VS Code

Job description

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 requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/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
• Manage multiple priorities, and simultaneously engage with multiple teams
• Be vocal and actively participate in all session with business stakeholders and agile teams
• Collaborate with product teams, data analysts and data scientists to design and build solutions
• Utilizes multiple architectural components (across data, application, business) in design and development of client requirements

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 experience with expert level development skills
• Hands on experience and knowledge generative AI RAG process 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 application leveraging FAST API services, JWT Integration, API Gateway
• Develop efficient utilities, automation frameworks, 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, Inference Frameworks
• Building API based application leveraging FAST API 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)