Senior Engineer – Applied AI, ML

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November 5

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Qvest.US

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Media • Consulting • Enterprise

Qvest. US is a global leader in technology and business consulting services, particularly for the media, entertainment, consumer packaged goods, and retail industries. With a presence in 20 locations worldwide, Qvest (pronounced "kwest") offers premium services, strategically advising and implementing cutting-edge business and technology solutions. The company focuses on revolutionizing newsrooms, enhancing operations for companies like JetBlue, and automating creative workflows. Qvest empowers teams to leverage direct-to-consumer products, improve customer experience, and utilize data and analytics effectively to maximize ROI. Specializing in fields such as content security, IP management, broadcast transformation, and Salesforce, Qvest is dedicated to innovation and global excellence.

201 - 500 employees

Founded 2013

📱 Media

🏢 Enterprise

📋 Description

• Provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a 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 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 • Professional growth paths • Sponsored training