Qvest US
Posted 76 days agoVerified live 1d ago
Senior Engineer (Applied AI / ML)
Brief overview
Remote
4+ yrsMinimum
6 H-1B approvalsDept. of Labor
Software DevelopmentAgile MethodologiesMachine LearningApplied AIMLOpsLarge Language ModelsChatGPTAmazon BedrockVector DatabaseGraph DatabasesCI/CD PipelinesEnterprise Application Integration
About the company
Qvest USqvest.com
Qvest is a global leader in media-focused practices and services.
Visa sponsorship history
2 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.6H-1B approved
100%approval rate
3new H-1B hires
$135,084median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20242
20251
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20261
Top sponsored roles
Senior Consultant-Broadcast Transformation
Job description
Summary
Qvest US is a global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. As a Senior Engineer in the Applied AI / ML practice, you will provide leadership within software teams, mentor colleagues, and influence technologies and solutions for both internal and client projects.
Responsibilities
- You will provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor
- You will impact all phases of our projects and all phases of the SDLC
- You will leverage your existing depth of knowledge to maximize your impact
- You will grow into new and/or adjacent technologies and domains to broaden your impact
- Present solutions to clients as well as Qvest team members
- Shape the kind of technologies that we are going to be using
Skills
- 4-6 years in software development, including working in teams
- Experience with agile methodologies such as Scrum, Kanban or XP
- Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG
- Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality
- Experience developing copilots
- Experience developing RAG applications
- Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API's, systems etc..) and the ability to communicate with client leadership in this area
- Experience with Vector Database and Embeddings
- Experience with Graph Databases
- Definition, utilization and implementation of CI/CD pipelines
- Familiarity with SOA, Microservices, or similar architectural patterns
- Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
- Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc
- Experience with typical AuthN/AuthZ methods and products
- Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
- Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time
Qualifications
Must Haves
- 4-6 years in software development, including working in teams
- Experience with agile methodologies such as Scrum, Kanban or XP
- Experience in ML / Applied AI tools and patterns including LLM, MLOps, RAG
- Experience using different models (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA etc..) and understanding applicability to purpose / use case balancing cost vs. functionality
- Experience developing copilots
- Experience developing RAG applications
- Experience with and around discussing enterprise deployments, knowing the landscape of enterprises, (their API's, systems etc..) and the ability to communicate with client leadership in this area
- Experience with Vector Database and Embeddings
- Experience with Graph Databases
- Definition, utilization and implementation of CI/CD pipelines
- Familiarity with SOA, Microservices, or similar architectural patterns
- Experience constructing systems by utilizing a separation of concerns (good OOP, FP design, etc)
- Experience with enterprise application integration, including defining the integration architecture, integration data flows and interfaces, integration mechanisms (e.g., async vs. synchronous), middleware, etc
- Experience with typical AuthN/AuthZ methods and products
- Experience managing data, including the selection of persistence product, design of database schema, constraints and transaction boundaries, read/write design trade-off decisions and how it relates to mutable vs. immutable data state
- Experience balancing feature development vs. technical debt accumulation in order to deliver business needs while also maintaining quality over time
Benefits
- Medical, dental & vision
- 401k matching
- Flexible vacation
- Sponsor training to advance our teams’ skill sets
- Prioritize our employees’ professional growth paths