"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 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)"
"Position Summary
This position is focused on design, build, and operate 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 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."
"Desired Qualifications
Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc.."
Compensation, Benefits and Duration
Minimum Compensation: USD 44,000
Maximum Compensation: USD 154,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Skills Required
- 5 years of relevant experience
- Experience with semantic search, data processing, data analytics, and data pipelines
- Expert-level object-oriented programming experience in Python, Scala, or Java
- Hands-on experience with generative AI and RAG processes, including chunking, embedding, retrieval, reranking, and summarization
- Application development experience with MongoDB, Redis, Angular or React, containerization, FastAPI, JWT, or API Gateway
- Experience developing reusable utilities, automation frameworks, data science platforms, and AI/ML or GenAI tooling
- Experience with AI/ML/GenAI lifecycle management, MLOps, fine-tuning, and inference frameworks
- Experience working with shared multi-repository codebases, IDEs, continuous integration, continuous deployment, and continuous testing
- DevOps experience with Git or Bitbucket, Jenkins, SonarQube, pytest, Artifactory, or Ansible
- Experience developing GenAI training and RAG platforms with open-source models, inference and servicing capabilities, or MCP modules
What We Do
Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.
