Job Specifications
Software Engineer - AI/ML/GenAI
Addison, TX / Charlotte (Local Consultant and F2F interview is Mandatory)
Position Summary
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)
Required qualifications:
5+ years of software development experience on large, complex systems required .
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)
Desired Qualifications:
Experience developing Gen AI training and RAG platform with open-source model, inferencing & servicing capabilities, MCP modules etc..
Skills:
Application Development
Automation
Influence
Solution Design
Technical Strategy Development
Architecture
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery Process
Analytical Thinking
Collaboration
Data Management
Risk Management
Test Engineering
About the Company
Q1 is a professional organization that delivers quality products and services. Q1 specializes in Software Development, Business Consulting and Technology Integration. We provide end-to-end integrated solutions that include professional services, functional and technical support and ongoing maintenance using our on-site, off-site and off-shore resources. We offer a comprehensive range of managed services for enterprise business and technology solutions with a team of highly experienced professionals. Q1 is also a Value Added...
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