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

Information Technology

251-1K (840)

Founded 1991

2 open positions

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Staff Engineer (Applied AI / ML)

4 weeks ago

United States

Full-time

Lead

Machine Learning Engineer

Software Development

Agile CI/CD Kanban LLM Machine Learning Microservices MLOps Scrum

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Qvest

Internet Software & Services

251-1K

Founded 1991

View All Jobs 2

Description

Mentor and support the career growth of team members in the Applied AI / ML practice.
Participate in the hiring process and annual performance review cycle.
Shape engineering culture, best practices, and a learning-oriented team environment.
Work with Qvest leadership to propose and present engineering practices, architectures, and technology stacks.
Contribute to business development by creating content and supporting proposals.
Identify, experiment with, and evaluate new tools, technologies, and architectural approaches for projects and the broader organization.
Translate business requirements into deployable systems and define team structures for project delivery.
Extract reusable components, patterns, concepts, and lessons learned for reuse across the organization.
Lead implementation efforts by contributing code, documentation, architecture, tests, and continuous improvement.
Collaborate directly with clients and internal teams on applied AI/ML solutions and enterprise deployments.

Requirements

8-12+ years of software development experience, including work in team environments.
Experience with agile methodologies such as Scrum, Kanban, or XP.
Expertise in ML / Applied AI tools and patterns, including LLMs, MLOps, and RAG.
Experience with models and platforms such as OpenAI, ChatGPT, Claude, Amazon Bedrock, or LLaMA.
Experience developing copilots and RAG applications.
Experience working with enterprise deployments and communicating with client leadership about APIs, systems, and enterprise landscapes.
Experience with vector databases and embeddings.
Experience with graph databases.
Experience defining and implementing CI/CD pipelines.
Familiarity with SOA, microservices, or similar architectural patterns.
Experience with enterprise application integration, including architecture, data flows, interfaces, and middleware.
Experience with authentication and authorization methods and products.
Experience managing data architecture, including persistence choices, schema design, constraints, and transaction boundaries.
Experience balancing feature delivery against technical debt while maintaining quality over time.
Bachelor's degree in engineering, information systems, computer science, business administration, or a related field.

Benefits

$80,000 - $400,000 annual salary range.
Medical, dental, and vision insurance.
401(k) matching.
Flexible vacation policy.
Training sponsorship to advance team skill sets.
Support for professional growth paths.
Remote or hybrid work may be available for certain projects.
Opportunity to work in a recognized Best Place to Work environment.

Interested in this position?

Apply directly on the company website

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