Software Engineer

• Gen AI Inferencing | Onsite
• (Dallas, Charlotte, New York) Photon
• 4.0 Charlotte, NY Job Details $44,000
• $154,000 a year 19 hours ago Benefits Paid holidays Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications AI models Containerization systems Performance tuning Software engineering Continuous Delivery (CD) implementation Tooling IT quality control System performance optimization Generative models UNIX AI platforms (beyond public GPTs) Enterprise software systems development Java Development environments Production systems Model deployment Data science DevOps automation System tuning Machine learning frameworks Developer tools Python MLOps Generative AI Full Job Description "Required qualifications: 5+ years OOP in Python/Scala/Java programming experience with expert level development skills Experience with AI/ML/GenAI Lifecycle Management and Development and its Ecosystem.

Hands on experience building frameworks using MLOps, Fine

• Tuning techniques, Inference Frameworks Experience with deploying models using vLLM/Triton Inference Server in containers in production with automation.

Performs Continuous Integration and Continuous Development (CI-CD) activities. Performance Tuning those models and deployment to provide higher throughput. Track record of maintaining large scale Python/Unix based systems. 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. 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 Strong automation, scripting, and Python development skills. 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) Utilizes multiple architectural components (across data, application, business) in design and development of client requirements Manage multiple priorities, and simultaneously engage with multiple teams. Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle. 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." "Desired Qualifications Experience building & deploying Gen AI inferencing platform with open-source toolsets, building inferencing & servicing capabilities (AI Gateway, Policy store, Observability) for

RAG/ MCP

use cases etc. Hands on experience on driving and maintaining a culture of quality, innovation, and experimentation. Research on new tools and capabilities for better UI and UX for advanced analytics platform, quick prototype and demonstrate the features and capabilities, and participate on various user forums."

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