11/06/2026 updated
100 % available
AI Engineer - Production LLM and Retrieval Systems
Valencia, Spain
Only remote
MSc Mathematical Finance (Distinction), University of York, Software Engineering, Strathclyde UniAI AgentsGCPLangChainPython (Programming Language)Machine LearningGenerative AI
AI & LLM Systems
Expertise in LLM-powered services in production, multi-agent orchestration, ReAct-style reasoning loops, tool and function calling, self-critique and confidence gating, LangChain and LangGraph, MCP (Model Context Protocol), prompt and tool design, NLP and unstructured text processing.
Retrieval & Agentic RAG
Deep knowledge of agentic RAG, hybrid dense and sparse retrieval, reranking, vector embeddings over structured metadata, query reformulation, grounding in source data, and retrieval evaluation.
Machine Learning & Statistics
Proficiency in Python (pandas, NumPy, scikit-learn), statistical modelling, time-series analysis, econometrics and hypothesis testing, generative and deep learning models, feature engineering, model validation, geospatial analysis, and exploratory analysis of noisy high-volume data.
Production & Evaluation
Product metric definition and tracking, evaluation against live business outcomes over benchmark scores, regression testing on live traffic, observability and tracing (Orq.ai), monitoring and alerting, latency and token-cost control, human-in-the-loop fallback, and failure-mode analysis.
Engineering & DevOps
Production Python (testable, maintainable, reviewed), SQL and PostgreSQL, REST and webhook API integration, deterministic pipelines and workflow orchestration, data ingestion pipelines, CI/CD and MLOps, GCP (Vertex AI, Cloud Run, Pub/Sub).
Technical Leadership
Technical leadership and architectural ownership, directing implementation across a small engineering team, end-to-end ownership of a system in production, turning vague business problems into specifications, workflow extraction from domain experts, rapid prototyping, structured communication to non-technical stakeholders, code review and mentoring.
Financial Econometrics & Quantitative Research
Statistical and stochastic modelling, financial econometrics, hypothesis testing, derivatives pricing, computational finance in Python, and quantitative research across energy markets, government and healthcare.
Generative Modelling
Prototyping of GAN-based generative models for scenario simulation, chosen over conventional time-series methods for high-noise and weak-cyclicality environments.
Expertise in LLM-powered services in production, multi-agent orchestration, ReAct-style reasoning loops, tool and function calling, self-critique and confidence gating, LangChain and LangGraph, MCP (Model Context Protocol), prompt and tool design, NLP and unstructured text processing.
Retrieval & Agentic RAG
Deep knowledge of agentic RAG, hybrid dense and sparse retrieval, reranking, vector embeddings over structured metadata, query reformulation, grounding in source data, and retrieval evaluation.
Machine Learning & Statistics
Proficiency in Python (pandas, NumPy, scikit-learn), statistical modelling, time-series analysis, econometrics and hypothesis testing, generative and deep learning models, feature engineering, model validation, geospatial analysis, and exploratory analysis of noisy high-volume data.
Production & Evaluation
Product metric definition and tracking, evaluation against live business outcomes over benchmark scores, regression testing on live traffic, observability and tracing (Orq.ai), monitoring and alerting, latency and token-cost control, human-in-the-loop fallback, and failure-mode analysis.
Engineering & DevOps
Production Python (testable, maintainable, reviewed), SQL and PostgreSQL, REST and webhook API integration, deterministic pipelines and workflow orchestration, data ingestion pipelines, CI/CD and MLOps, GCP (Vertex AI, Cloud Run, Pub/Sub).
Technical Leadership
Technical leadership and architectural ownership, directing implementation across a small engineering team, end-to-end ownership of a system in production, turning vague business problems into specifications, workflow extraction from domain experts, rapid prototyping, structured communication to non-technical stakeholders, code review and mentoring.
Financial Econometrics & Quantitative Research
Statistical and stochastic modelling, financial econometrics, hypothesis testing, derivatives pricing, computational finance in Python, and quantitative research across energy markets, government and healthcare.
Generative Modelling
Prototyping of GAN-based generative models for scenario simulation, chosen over conventional time-series methods for high-noise and weak-cyclicality environments.
Experience
Professional experience5 - 10 years
Freelancer since2026
Languages
EnglishNative speaker
Project history
Technical lead and architect for Quotifyer, a production multi-agent quotation system. Owned the system design, retrieval strategy and agentic/deterministic split. Designed and tuned the retrieval layer with hybrid search combining dense vector embeddings with sparse matching over structured product metadata. Implemented ReAct-style agent loops. Defined product metrics and ran a continuous improvement loop. Owned end-to-end tracing and prompt versioning through Orq.ai. Automated daily financial-statement processing across Adyen and NetSuite.
Fixed-term contract. AI decision-support and automation for policy and risk analysis under public-sector governance requirements. Built multi-agent analysis pipelines that removed manual analytical workload and surfaced prioritised, explainable recommendations. Embedded governance, audit trails and interpretable outputs for senior non-technical stakeholders.
Battery storage developer. Market research and analytics supporting site acquisition and investment decisions across a pre-operational UK development portfolio. Sourced and reconstructed historical UK Balancing Mechanism data. Analysed price patterns, spread behaviour and revenue-stacking to model expected revenues at candidate sites. Prototyped a GAN-based generative model for balancing-market scenarios.