Senior Engineer (Applied AI / ML)

About the Company

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 and 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.

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.

About the Role

As a Senior Engineer, you enjoy solving problems and thrive in fast-paced, collaborative environments. You are looking for a role where you can 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 engineer 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

• Provide leadership within software teams as a mentor, team-lead, trusted client-facing technologist, and/or hands-on contributor
• Impact all phases of our projects and all phases of the SDLC
• Leverage your existing depth of knowledge to maximize your impact
• 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

Requirements

• 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 APIs, systems, etc.) and the ability to communicate with client leadership in this area
• 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 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

Travel Requirements

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 coverage
• 401k matching
• Flexible vacation
• Sponsored training to advance skill sets
• Prioritization of employees’ professional growth paths

About Life at Qvest

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel.”