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Qvest US

Posted 28 months ago

Open

Senior Engineer (Applied AI / ML)

AustinOn-siteFull-time

AI Summary

Senior engineer leading and contributing to applied AI/ML projects, shaping architectures, mentoring teams, and delivering client-ready solutions across SDLC.

About this role

Who We Are
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.

About the IDC
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. We're honored to be recognized by Fortune magazine and Great Place to Work as a Best Workplace in Texas!

Who we're seeking
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).

What you'll do

  • 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

    • What you'll bring

  • 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

    • Skills

    ACIDAPIsArangoDBAsync MessagingBedrockCI/CDCI/CD PipelinesClaudeCopilotsCopilot ToolingDatabasesData GovernanceData ModelingData PersistenceDockerEmbeddingsEMR/BigQuery/SnowflakeEnterprise DeploymentsEnterprise IntegrationEvent-driven ArchitectureFPGitGraph DatabasesImmutabilityJavaJWTKubernetesLlamaIndexLLM OrchestrationLLMsMicroservicesMLflowMLOpsMLOps ToolingNeo4jNoSQLOAuthOOPOpenAI APIPineconeProduction MLPrompt EngineeringPythonPyTorchRAGRAG ApplicationsRedis VectorsSAMLScalaSchema DesignSecurity/authSOASQLTensorFlowTransformersVector DatabasesVector Search

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