Senior AI Engineer: Generative AI & Agent Systems Lead

Bounteous; Comunidad de Madrid; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Bounteous is seeking a Senior AI Engineer to work with enterprise clients in Madrid to design, build, and deploy production-grade generative AI solutions, agents, and RAG workflows from scoping through deployment.

You will lead architecture decisions, evaluate LLM/SLM options, and collaborate with CTOs and engineering teams, applying skills in Python/TypeScript and agentic tooling to deliver measurable value.

Formación

• 6+ years of software engineering experience, including 3+ years building LLM-powered applications in production.
• Experience building skills libraries for AI agents.
• Hands-on with agentic AI tools (Claude Code or similar), plus agents, tool use, MCP, and RAG architectures.
• Writes and reviews code with AI daily, and is eager to help customers adopt the same way of working.
• Proven track record designing and running evals (benchmarks, LLM-as-judge, HITL).
• Strong grasp of LLM/SLM trade-offs, context engineering, and agentic engineering practices.
• Python and/or TypeScript proficiency; strong client-facing communication.

Responsabilidades

• Build and deploy agentic AI systems using spec-driven development and evals-first delivery.
• Design RAG pipelines, skills, and MCP-based integrations with enterprise systems.
• Define eval frameworks and guardrails; own quality from POC to production.
• Choose the right architecture, LLM, SLM, or hybrid, for cost, latency, and accuracy.
• Lead technical conversations with client stakeholders, from CTOs to engineering teams.

Conocimientos

Client-facing communication

Python

TypeScript

Eval design

LLM/AI systems

Herramientas

Claude Code or similar

MCP-based integrations

RAG architectures

Descripción del empleo

Bounteous is seeking a Senior AI Engineer to work with enterprise clients in Madrid to design, build, and deploy production-grade generative AI solutions, agents, and RAG workflows from scoping through deployment.

You will lead architecture decisions, evaluate LLM/SLM options, and collaborate with CTOs and engineering teams, applying skills in Python/TypeScript and agentic tooling to deliver measurable value.