Note: The job is a remote job and is open to candidates in USA. Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. The Staff Engineer in Applied AI / ML will mentor team members, shape engineering practices, and lead project teams while working closely with Qvest leadership to influence technology solutions and business development.
Responsibilities
- 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
Skills
- 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
Benefits
- Medical, dental & vision
- 401k matching
- Flexible vacation
- Sponsor training to advance our teams’ skill sets
Company Overview
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