Staff Engineer (Applied AI / ML)

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.

About The IDC

The IDC is our Innovation and Development Center. We build custom software using modern technologies to solve complex business problems for our clients. We believe the best products and services are realized by knowledgeable, tight-knit teams aligned to a shared purpose and understanding.

Who We're Seeking

As a Staff Engineer, you are an innovative and thoughtful self-starter who enjoys solving problems and thrives in fast-paced, collaborative environments. You are looking for a role where you can shape best practices, mentor team members, work on varied projects, and influence technologies and solutions for both Qvest internal and client external projects. You thrive in environments where you're able to demonstrate technical competency while working individually, closely with team members, or directly with our clients.

Specifically working in our Applied AI / ML practice, you are a self-driven engineering leader who loves to identify and experiment with new approaches, technologies, or tools which will impact our projects or industry. Examples could include emergent architectural approaches, new cloud provider offerings, or productivity enhancers (new tooling, Chat-GPT, Copilots, or similar).

Responsibilities

• As a mentor and engineering leader in the Applied AI / ML practice, help grow the careers of other team members, participate in the hiring process, annual review cycle, and shape engineering culture.
• Work directly with Qvest leadership to impact projects, teams, and the organization by creating, shaping, proposing, and presenting engineering practices, architectures, and tech stacks.
• Influence business development through expertise by creating content and contributing to proposals.
• Extract reusable components, patterns, concepts, and lessons learned to be leveraged across the organization.
• Propose technologies for specific projects and define team structure.
• Help gather, translate, and refine business requirements into deployable systems, leveraging repeatable design strategies and creating reference implementations.
• Lead by example through code contributions, continuous improvement, and high-quality documentation, architecture, code, and tests.

Requirements

• 8-12+ years in software development, including working in teams.
• Experience with agile methodologies such as Scrum, Kanban, or XP.
• Expertise 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 and RAG applications.
• Experience with enterprise deployments, enterprise APIs, systems, and communication with client leadership.
• Experience with Vector Databases 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 utilizing separation of concerns (OOP, FP design, etc.).
• Experience with enterprise application integration, including defining integration architecture, data flows, interfaces, and mechanisms (e.g., async vs. synchronous), middleware, etc.
• Experience with typical AuthN/AuthZ methods and products.
• Experience managing data, including selection of persistence products, database schema design, constraints, transaction boundaries, read/write design trade-offs, and mutable vs. immutable data state.
• Experience balancing feature development vs. technical debt to deliver business needs while maintaining quality.
• Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields.

Pay

$80,000 - $400,000 a year

Schedule

• Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region.
• Remote & Hybrid Work: While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.

Benefits

• Medical, dental, and vision benefits.
• 401k matching and flexible vacation.
• Sponsored training to advance skill sets.
• Prioritization of employees’ professional growth paths.

Qvest US is currently 300+ people strong and has been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel.”