Q
Senior AI Engineer
Sin especificarTiempo completoAI EngineeringIT Services
Design, build, and scale production AI and generative AI solutions for complex enterprise environments, combining software engineering, cloud infrastructure, and system architecture.
Responsabilidades
- Design and develop end-to-end AI and generative AI systems from prototype through production, using LLMs and agent frameworks such as LangGraph.
- Build scalable backend services, data and inference pipelines, RAG and embedding architectures, and highly available cloud-native systems.
- Design distributed microservices and event-driven architectures for scale and reliability.
- Implement observability and AI software development lifecycle practices.
- Integrate security, governance, and compliance capabilities into AI solutions.
Requisitos
- At least 8 years of production software development experience.
- At least 5 years of hands-on Python and JavaScript or TypeScript experience, including concurrency, asyncio, and Pydantic.
- At least 3 years of hands-on AWS and cloud-native architecture experience, including Docker, Kubernetes, S3, Lambda, CI/CD, observability, and managed messaging or streaming platforms.
- At least 4 years designing scalable microservices, event-driven architectures, and distributed backend systems, including high-load and failure scenarios.
- Strong knowledge of software engineering, distributed systems, scalability, reliability, and production-grade development.
- Strong problem-solving and technical communication skills, and ability to work with multidisciplinary teams.
Se valora
- Experience deploying production LLM solutions and managing non-deterministic AI outputs at scale.
- Experience with AI evaluation and monitoring, including LLM-as-a-Judge.
- Familiarity with MCP, A2A protocols, and agentic architectures.
- Experience designing REST or GraphQL APIs and knowledge of OAuth 2.0, JWT, or OIDC.