Lead and mentor engineering teams in applied AI/ML projects. Define architectures, propose technologies, build reference implementations, contribute code and CI/CD pipelines, and work with clients on enterprise deployments (LLMs, MLOps, RAG, vector/graph databases). Shape engineering practices and influence business development.
Who We Are About the IDC
Remote & Hybrid Work Life at Qvest Equal Employment Opportunity
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.
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).
What you'll do
- As a mentor and an engineering leader in the Applied AI / ML practice, you will help grow the careers of other team members, have the opportunity to participate in the hiring process, participate in the annual review cycle, and shape and contribute to the engineering culture as a place to learn and grow.
- As a technology Leader, you’ll work directly with Qvest leadership to impact projects, teams and the Qvest organization by creating, shaping, proposing and presenting engineering practices, architectures, and tech stacks. You will influence business development through your expertise by creating content and contributing to proposals. You will extract reusable components, patterns, concepts and lessons learned to be leveraged across the organization.
- As a project leader, you’ll help propose technologies to be used on specific projects, and define the shape of the team to build them. As a part of that team, you’ll help the team gather, translate and refine business requirements into deployable systems, extracting and leveraging repeatable design strategies, and creating reference implementations. You will lead by example through the code you contribute, the continuous improvement you foster, and the quality of documentation, architecture, code, and tests you and your teams will deliver.
What you'll bring
- 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
- 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
- Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields
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.
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.
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. 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."
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.
Similar Jobs
Cloud • Mobile • Software
Own and govern the Professional Services delivery methodology, tooling, and escalation frameworks. Maintain portfolio health reporting, run RCA post-implementation, enforce PS tooling adoption, and develop implementation playbooks for different customer segments. Drive consistency across IMs and CSMs to reduce churn and improve go-live outcomes.
Top Skills:
AsanaCertiniaClickupConfluenceGainsightGcxGuidecxJIRANetSuiteQuickbooksSageSalesforce
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.
Top Skills:
Ai AgentsAuthenticationAWSCloud ProvidersFine-TuningFinopsKnowledge BasesLlmsMicrovmsObservabilityPii RedactionTracingVector Stores
.png)
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.
Top Skills:
AWSC++KubernetesPythonPyTorchScikit-LearnSparkTensorFlow
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
