Senior AI Engineer

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Aimpoint Digital

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51 - 200 Mitarbeiter

🤖 Künstliche Intelligenz

💼 Beratung

Artificial Intelligence • Analytics • Consulting

Aimpoint Digital ist ein marktführendes Beratungs- und Lösungstechnikunternehmen für Analytik, Datenengineering, Operations Research und Künstliche Intelligenz. Es befähigt Organisationen, durch strategische Beratung, die Entwicklung modernster KI-Lösungen und die Implementierung fortschrittlicher Analytik-Anwendungen, Werte aus Daten zu erschließen. Aimpoint Digital arbeitet mit verschiedenen Unternehmen zusammen, um deren Betriebsabläufe zu verbessern, datenbasierte Entscheidungen zu fördern und den ROI durch personalisierte Datenstrategien und Optimierungslösungen zu maximieren.

Beschreibung

• Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows • Translate business problems into scalable technical solutions using modern AI engineering best practices • Develop backend services, APIs, and application architectures that integrate AI capabilities into enterprise systems • Build multi-agent systems, AI agents, workflow automation, and decision-support systems • Deploy AI solutions into production with appropriate security, observability, monitoring, evaluation, and governance • Design AI systems that integrate with enterprise data platforms, APIs, databases, messaging systems, and business applications • Collaborate with cross-functional client teams including engineering, data, product, architecture, security, and business stakeholders • Experience deploying and operating containerized applications on Kubernetes, including scaling, service networking, resource management, and production monitoring • Contribute reusable accelerators, frameworks, technical assets, and thought leadership that strengthen the AI Engineering practice • Stay current with emerging AI technologies and recommend practical approaches that improve client outcomes

🎯 Anforderungen

• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience • 3+ years of professional software engineering experience building production applications • 1+ years designing and deploying AI or machine learning solutions into production • Strong programming experience using Python, Java, C#, Go, TypeScript, or similar languages • Experience building scalable backend systems, APIs, or distributed applications • Experience developing AI applications using modern LLMs, machine learning models, or intelligent automation solutions • Experience with online and offline evaluation, observability, context engineering, guardrails, and AI governance • Experience with MLOps, LLMOps, or production deployment pipelines • Strong understanding of software engineering principles, including testing, version control, CI/CD, code reviews, and system design • Experience using Claude Code, OpenAI Codex, Google Antigravity, Cursor, GitHub Copilot, or other comparable coding harnesses • Experience integrating AI applications with enterprise data sources, APIs, and business systems • Familiarity with cloud platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar technologies • Experience deploying applications using containers, Kubernetes, serverless platforms, or similar cloud-native technologies • Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders • Ability to independently own technical workstreams while collaborating across multidisciplinary teams.

🏖️ Vorteile

• Health insurance • Professional development opportunities • 401(k) matching