AI Engineer | €45K - €55K

Shield AI
San Diego, CA, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$45,000.0 - $55,000.0
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Artificial Intelligence Computer Vision Cursor Software Debugging Programming Tools Python (Programming Language) PostgreSQL Machine Learning MongoDB TypeScript Google Cloud Retrieval-Augmented Generation
+7 more
Large Language Models Claude Code Multi-Agent Systems Backend Langfuse — LLM Observability and Analytics Platform Machine Learning Operations Front End Software Development

Job description

  1. Architect and deliver AI solutions, balancing latency, cost, and accuracy
  2. Focus on efficiency, continuously seeking optimization opportunities in code and systems
  3. Own AI observability end-to-end: monitor traces, design evaluation frameworks, and rapidly improve deployed models
  4. Develop backend and frontend code to integrate AI capabilities into products
  5. Lead your own project management and roll out initiatives to customers
  6. Engage with customers to validate new solutions and gather feedback

Requirements

  1. 2+ years of hands-on experience building production-ready AI systems
  2. Strong understanding of emerging AI models, research, and real-world usage
  3. Experience with modern AI-powered development tools (such as Claude Code, Cursor, Codex, or similar)
  4. Demonstrated ability to design, debug, and improve end-to-end systems with a product-focused mindset
  5. Fluent in Spanish and comfortable working in English

Nice to have

  1. Experience with AI observability platforms (e.g., langfuse: tracing, metrics, evaluations for LLM applications/agents)
  2. Expertise in designing and running evaluations
  3. Familiarity with multimodal LLMs, especially vision models for OCR document understanding
  4. Experience building and orchestrating multi-agent systems
  5. Knowledge of RAG systems and vector databases
  6. Experience designing or working with MCPs

Tech stack

  1. TypeScript, Python, langfuse, PostHog, Google Cloud Platform, mastra, Postgres, MongoDB, and various AI providers

Benefits & conditions

  1. Exciting work in a fast-growing environment with a strong product-market fit and collaborative culture
  2. Competitive salary (40-55k), with potential for growth
  3. Access to a modern, well-equipped office
  4. Hybrid workplace: at least 2 days in the office per week, plus 3 days WFH
  5. All the AI tools you want for experimentation and development
  6. Subsidized Urban Sports Club membership for wellness activities
  7. Additional salary benefits

About the company

About Shield AI

201-500

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