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Senior Engineer (Applied AI / ML)

4 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
Agile CI/CD Kanban LLM Machine Learning Microservices MLOps Salesforce Scrum
Apply Now
Qvest

Qvest

Qvest is a leading global consultant, systems architect, and software developer specializing in digital transformation, innovation, and business transformation. They provide expertise in crucial aspects of digital transformation, offering services in f...

Internet Software & Services
251-1K
Founded 1991
View All Jobs 2

Description

  • Provide technical leadership within software teams as a mentor, team lead, trusted client-facing technologist, or hands-on contributor.
  • Contribute to all phases of projects and the software development lifecycle.
  • Apply existing technical depth to maximize project impact.
  • Expand into adjacent technologies and domains to broaden impact.
  • Present solutions to clients and Qvest team members.
  • Influence the technologies and solutions used on future projects.
  • Identify, experiment with, and evaluate new AI/ML approaches, tools, and platforms for practical use in projects.

Requirements

  • 4-6 years of software development experience, including working on teams.
  • Experience with agile methodologies such as Scrum, Kanban, or XP.
  • Experience with ML/Applied AI tools and patterns including LLMs, MLOps, and RAG.
  • Experience using models such as OpenAI, ChatGPT, Claude, Amazon Bedrock, or LLaMA, with the ability to balance cost and functionality by use case.
  • Experience developing copilots and RAG applications.
  • Experience with enterprise environments, including APIs, systems, and communicating with client leadership.
  • Experience with vector databases, embeddings, and graph databases.
  • Experience defining and implementing CI/CD pipelines.
  • Familiarity with SOA, microservices, or similar architectural patterns.
  • Experience with enterprise application integration, including integration architecture, data flows, interfaces, and async/synchronous mechanisms.
  • Experience with authentication and authorization methods and products.
  • Experience managing data architecture, including persistence selection, schema design, constraints, transaction boundaries, and read/write trade-offs.
  • Ability to balance feature development and technical debt while maintaining quality over time.

Benefits

  • Medical, dental, and vision insurance.
  • 401(k) matching.
  • Flexible vacation.
  • Training sponsorship to advance skills.
  • Support for professional growth paths.
  • Remote or hybrid work may be available depending on project needs.
  • Opportunity to work on client-facing and internal innovation projects.

Interested in this position?

Apply directly on the company website

Apply Now

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