Senior Full Stack AI Engineer/LLM - Pharma Industry (Madrid)

Senior Full Stack AI Engineer/LLM - Pharma Industry (Madrid)

06 ago
|
Tamarind Intelligence
|
Madrid

06 ago

Tamarind Intelligence

Madrid

ph3Overview /h3pCan you imagine building AI‑powered products that transform how business teams generate strategic insights? Join our expert team to work on a Pharmaceutical sector product, contributing to the development of an AI platform that transforms enterprise knowledge into intelligent decision support. /ph3Responsibilities /h3pYou will be responsible for designing and developing AI‑powered capabilities based on LLMs, RAG, and Synthetic AI Personas while building scalable backend services and enterprise integrations. You will collaborate closely with product owners, architects, and engineering teams to transform business requirements into reliable AI solutions, continuously improving quality, performance, and scalability. /ph3Qualifications /h3pAs a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts. /pulliStrong software engineering experience building production‑grade applications using Python as the primary language, with additional experience in TypeScript, Node.js, FastAPI, Java, or Rust. /liliHands‑on experience developing LLM‑powered applications using Azure OpenAI, OpenAI, Azure AI Services, Amazon Bedrock, Gemini or Anthropic, including multi‑provider LLM orchestration. /liliProven experience designing RAG and GraphRAG solutions, working with knowledge graphs, embeddings, vector search, semantic chunking, retrieval optimization, and processing structured and unstructured enterprise data. /liliExperience implementing agentic AI workflows using frameworks such as LangChain, LangFuse or Haystack, including prompt orchestration, tracing, evaluation and observability.



/liliStrong experience designing cloud‑native microservices and APIs, working with Snowflake, PostgreSQL, Docker, OpenShift, Kubernetes and modern CI/CD pipelines, while collaborating effectively with cross‑functional international teams. /li /ulh3Benefits /h3ulliWe cover your certifications and reward technical achievements up to €1,500. /liliPrivate health insurance. /liliFull coverage for sick leave. /liliFree emotional, legal, and family support. /liliGym discounts or sports compensation. /liliFlexible remuneration: meals, transport, childcare, and more. /liliReferral bonuses: up to €6,000 per candidate and €5,000 per client. /lili23 working days of vacation. /liliFree language courses: English, Spanish, Catalan and German. /li /ulh3Work model /h3pWe ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40‑hour workweek. Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office! /ph3Career support /h3pBesides your team and manager, you will have several support figures such as a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months. And the second most important person after you, your mentor, will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long‑term goals. /ph3Project lifecycle /h3pIf a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development. /p /p #J-18808-Ljbffr

📌 Senior Full Stack AI Engineer/LLM - Pharma Industry (Madrid)
🏢 Tamarind Intelligence
📍 Madrid

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