Note: The job is a remote job and is open to candidates in USA. Qvest US is a global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. As a Senior Engineer in the Applied AI / ML practice, you will provide leadership within software teams, mentor colleagues, and influence technologies and solutions for both internal and client projects.
Responsibilities
- You will provide leadership within software teams; as a mentor, team-lead, trusted client-facing technologist and/or as a hands-on contributor
- You will impact all phases of our projects and all phases of the SDLC
- You will leverage your existing depth of knowledge to maximize your impact
- You will 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
Skills
- 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
- Sponsor training to advance our teams’ skill sets
- Prioritize our employees’ professional growth paths
Company Overview
Company H1B Sponsorship