Staff Engineer – Applied AI, ML

🕒 il y a 2 mois

🤠 Texas – Distant

🤠 Texas – Remote

💵 $80 000 - $400 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Qvest.US

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2013

📱 Médias

🏢 Entreprise

Media • Consulting • Enterprise

Qvest. US est un leader mondial dans les services de conseil en technologie et en affaires, en particulier pour les industries des médias, du divertissement, des biens de consommation emballés et de la vente au détail. Présente dans 20 sites à travers le monde, Qvest (prononcé "kwest") offre des services premium, conseillant stratégiquement et mettant en œuvre des solutions commerciales et technologiques de pointe. L'entreprise se concentre sur la révolution des salles de rédaction, l'amélioration des opérations pour des entreprises comme JetBlue, et l'automatisation des flux de travail créatifs. Qvest donne aux équipes les moyens d'exploiter des produits directs aux consommateurs, d'améliorer l'expérience client, et d'utiliser efficacement les données et les analyses pour maximiser le retour sur investissement. Spécialisée dans des domaines tels que la sécurité des contenus, la gestion des droits IP, la transformation de la diffusion et Salesforce, Qvest est dévouée à l'innovation et à l'excellence mondiale.

Description

• 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.

🎯 Exigences

• 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

🏖️ Avantages

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