Forward Deployed AI Engineer

Tamarind Intelligence; Madrid; Presencial; EUR 70.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary paid in 14 installments

Annual performance bonus

Meal allowance

Flexible retribution plan

Private medical insurance

25 days annual leave

Public holidays (Madrid)

Learning program

Descripción de la vacante

Tamarind Intelligence in Madrid is seeking a Forward Deployed AI Engineer to work with clients, turning AI use cases into production solutions that deliver measurable business value in weeks. The role blends hands-on engineering, architectural judgment, and business understanding.

The position requires strong Python development, GenAI expertise, data engineering experience, and collaboration across multidisciplinary teams.

Formación

• 5–10 years of AI/ML engineering, software or data engineering experience.
• Hands-on delivery of AI/GenAI or software solutions into production.
• Experience with clients or complex stakeholder environments.
• Degree in CS/Engineering/Data Science or related field.

Responsabilidades

• Co-create solutions with business and technical stakeholders through workshops and delivery.
• Identify data access requirements and collaborate with Data Engineers.
• Translate use cases into production-ready GenAI and AI agentic solutions.
• Prototype, test, deploy, monitor, and improve client solutions.
• Collaborate with engineers, architects, governance, and service delivery to ensure outcomes.
• Balance speed, quality, cost, security, and maintainability in delivery.
• Define success criteria and ensure documented, transferable solutions.

Conocimientos

Python development

LLM/GenAI

API integration

Data engineering

Cloud platforms

Docker

CI/CD

Multidisciplinary teamwork

Educación

Degree in CS/Engineering/Data Science

Herramientas

LangChain

LlamaIndex

Semantic Kernel

Docker

Descripción del empleo

Forward Deployed AI Engineer

Location: Madrid, Spain (Hybrid - flexible)

Contract type: Employee / contract

Target start date: September 2026

Working hours: Full-time (40h/week)

Compensation: €70k–€85k per year

As a Forward Deployed AI Engineer, you work at the heart of a client's most pressing AI challenges, turning intent into operational, measurable results in weeks rather than months. This is an experienced individual‑contributor role that blends hands‑on engineering, architectural judgment, and business understanding.

Responsibilities

• Co‑create solutions with business and technical stakeholders through workshops, rapid iterations, and hands‑on delivery.
• Locate, qualify, and secure access to the data required for each use case, working directly with Data Engineers.
• Translate use cases into production‑ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI‑enabled workflows.
• Prototype, test, deploy, monitor, and improve solutions in real client environments using feedback from users and domain experts.
• Collaborate with Data Engineers, Software Engineers, Foundations Architects, Governance experts, Business Value Advisors, and Service Delivery Managers to deliver sustainable outcomes.
• Balance speed, quality, cost, security, and maintainability while making clear technical and delivery trade‑offs.
• Define success criteria from the outset, including adoption, performance, reliability, risk, cost, and measurable business value.
• Ensure solutions are documented, governed, and transferable so clients can operate them with confidence.
• Turn successful delivery into reusable patterns, accelerators, and building blocks that strengthen future engagements.

Qualifications & Experience

• 5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
• Hands‑on experience delivering AI, GenAI, or software solutions into production.
• Experience working directly with clients or in complex stakeholder environments.
• Evidence of turning complex use cases into adopted, measurable solutions.
• A degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• Ability to work effectively in multidisciplinary environments.
• Professional proficiency in English.

Technical & Professional Skills

• Strong Python development skills, API integration experience, and modern software‑engineering practices.
• Hands‑on experience with Large Language Models, GenAI architectures, prompt workflows, and model/provider selection.
• Experience with RAG, embeddings, vector search, AI agents, and agentic workflows.
• Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable tools.
• Experience integrating AI into enterprise systems, APIs, and business workflows.
• Experience with at least one major cloud platform: Azure, AWS, or GCP.
• Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, and evaluation.
• Understanding of MLOps / LLMOps, security, data privacy, governance, and Responsible AI principles.

Nice to Have

• Experience in consulting or client‑facing environments.
• Experience with multimodal models, fine‑tuning, model adaptation, or open‑source LLMs.
• Front‑end or full‑stack development experience, e.g., Node.js or React.
• Exposure to regulated industries or enterprise governance requirements.

Benefits

• Competitive salary paid in 14 instalments (option for 12 from day one).
• Annual performance bonus.
• Meal allowance (€1,800/year net, distributed over 11 monthly reloads).
• Flexible retribution plan: transport and daycare tickets.
• Private medical insurance with Sanitas (no copays, dental included).
• 22 days of annual leave, increasing every 3 years up to 26 days.
• 14 public holidays (Madrid calendar).
• Continuous learning via Keyrus Learning Experience (KLX).

Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.