Senior Applied AI Researcher (Agentic Search)

Jobgether; España; Presencial; EUR 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Career growth

Autonomy

Impactful projects

International team

Diverse workplace

Descripción de la vacante

Jobgether, on behalf of a partner company, seeks a Staff / Principal Applied AI Researcher (Agentic Search) based in Spain. You will shape how intelligent agents discover, retrieve, evaluate, and reason over real-time web information, leading research across retrieval, grounding, and multi-step workflows.

You will design scalable systems that handle unstructured data, balance latency with reliability and cost, and mentor engineers while translating research into measurable production impact

Formación

• 8+ years of experience in applied AI, ML, or software engineering.
• Proven track record shipping ML/AI systems to production.
• Deep expertise in search, information retrieval, ranking, and related domains.
• Strong understanding of modern deep learning, transformers, and embeddings.
• Experience building LLM-integrated, knowledge-intensive, or retrieval-augmented systems.
• Practical experience designing evaluation frameworks and meaningful metrics for ML/AI systems.
• Strong Python and at least one systems language (Go/C++).
• Ability to work in a fast-moving, product-oriented environment with ownership and autonomy.
• Publications or open-source contributions are welcome.

Responsabilidades

• Drive applied AI research and technical direction across retrieval and ranking for agent-native search.
• Design and evolve multi-stage retrieval architectures including query understanding, rewriting, reranking, and iterative retrieval.
• Develop grounding approaches for LLMs in real-time web data while maintaining quality, scalability, and reliability.
• Build and refine systems where LLMs can plan, query, evaluate, and reason over retrieved information across multi-step workflows.
• Define new evaluation frameworks, metrics, and experimentation methodologies for agentic systems.
• Lead experimentation with modern retrieval technologies and transition successful methods into production.
• Analyze and manage trade-offs between relevance, latency, reliability, and infrastructure cost at scale.
• Partner with engineering teams to deploy AI and retrieval systems in high-throughput environments.
• Take ownership of ambiguous problems from research through implementation and contribute to broader product direction.
• Mentor engineers and raise research and engineering standards.

Conocimientos

Applied AI

ML systems

Search

Python

C++

Herramientas

Embeddings

RAG

LLMs

Descripción del empleo

Jobgether, on behalf of a partner company, seeks a Staff / Principal Applied AI Researcher (Agentic Search) based in Spain. You will shape how intelligent agents discover, retrieve, evaluate, and reason over real-time web information, leading research across retrieval, grounding, and multi-step workflows.

You will design scalable systems that handle unstructured data, balance latency with reliability and cost, and mentor engineers while translating research into measurable production impact