Staff Engineer – Applied AI, ML

🕒 vor 2 Monaten

🤠 Texas – Remote

🤠 Texas – Remote

💵 $80.000 - $400.000 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Qvest.US

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2013

📱 Medien

🏢 Unternehmen

Media • Consulting • Enterprise

Qvest. US ist ein weltweit führendes Unternehmen für Technologie- und Unternehmensberatung, insbesondere in den Bereichen Medien, Unterhaltung, Konsumgüter und Einzelhandel. Mit einer Präsenz an 20 Standorten weltweit bietet Qvest (ausgesprochen "kwest") erstklassige Dienstleistungen, berät strategisch und implementiert modernste Geschäfts- und Technologielösungen. Das Unternehmen konzentriert sich auf die Revolutionierung von Newsrooms, die Optimierung von Abläufen für Unternehmen wie JetBlue und die Automatisierung kreativer Workflows. Qvest befähigt Teams dazu, Direktvertriebsprodukte zu nutzen, das Kundenerlebnis zu verbessern und Daten und Analysen effektiv zu verwenden, um den ROI zu maximieren. Spezialisiert auf Bereiche wie Content Security, IP-Management, Broadcast-Transformation und Salesforce, setzt sich Qvest für Innovation und globale Exzellenz ein.

Beschreibung

• 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.

🎯 Anforderungen

• 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

🏖️ Vorteile

• medical • dental & vision • 401k matching • flexible vacation • training to advance skill sets • prioritization of professional growth paths