Senior Software Engineer – Solutions Architect, Python, GenAI

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

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Provectus

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2012

🤖 Intelligence artificielle

☁️ SaaS

Artificial Intelligence • SaaS

Provectus est un cabinet de conseil en intelligence artificielle et un fournisseur de solutions qui aide les entreprises à se transformer grâce à l'IA. Offrant à la fois une approche par cas d'utilisation et par plateforme, Provectus intègre l'IA dans les organisations pour atteindre des objectifs commerciaux uniques et des capacités techniques. Leurs solutions sont cloud-native, agnostiques aux fournisseurs et ouvertes, permettant une implantation dans le cloud du client sans licences restrictives. Avec des applications dans des secteurs comme la vente au détail, la fabrication et la santé, Provectus livre des cas d'utilisation propulsés par l'IA et des solutions clés en main pour stimuler l'innovation et l'efficacité. Ils offrent également des services de conseil, de personnalisation et de gestion d'IA.

Description

• Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs. • Implement and optimize RAG systems for production use cases. • Design and build LLM-based and agentic AI solutions that address real client business challenges. • Own the technical direction of client engagements from discovery through delivery. • Support presales: discovery calls, technical proposals, scoping, and client-facing demos. • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice. • Mentor engineers, lead code reviews, and share knowledge across the team. • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.

🎯 Exigences

• 7+ years building and running production systems, not only demos and POCs. • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions. • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization. • Experience building RESTful APIs with FastAPI, Django REST, or Flask. • Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL. • Strong testing practices: pytest, mocking, and integration tests for AI systems. • Experience with Docker and Kubernetes. • Hands-on experience building production LLM-based applications and agentic workflows. • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock). • Experience building and optimizing RAG systems. • Understanding of LLM evaluation techniques and quality assurance approaches. • Experience deploying and maintaining AI/ML models in production environments. • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered. • Experience with React/Vue. • AWS and Claude Code Certifications. • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.

🏖️ Avantages

• Opportunity to work with cutting-edge AI and cloud solutions. • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications. • Career growth: a clear path toward SA or beyond — we actively develop our engineers. • Access to the latest AI tools and premium subscriptions. • Remote with flexible hours. • Unlimited Vacation policy. • Generous health, vision, and dental insurance. • 401(K) matching plan.