Job Overview

We are 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.

You will apply your knowledge of LLMs, RAG, knowledge graphs and cloud‑native technologies to build scalable AI solutions that enable business teams to make better evidence‑based decisions through Synthetic AI Personas.

At ERNI you are part of the team regardless of whether you work on an external project – you will always be supported.

Responsibilities

You will design and develop AI‑powered capabilities based on LLMs, RAG and Synthetic AI Personas, 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, and continuously improve quality, performance and scalability.

Qualifications

- Strong software engineering experience building production‑grade applications using Python as the primary language, with additional experience in TypeScript, Node.js, FastAPI, Java or Rust.
- Hands‑on experience developing LLM‑powered applications using Azure OpenAI, OpenAI, Azure AI Services, Amazon Bedrock, Gemini or Anthropic, including multi‑provider LLM orchestration.
- Proven experience designing RAG and GraphRAG solutions, working with knowledge graphs, embeddings, vector search, semantic chunking,



retrieval optimisation and processing structured and unstructured enterprise data.
- Experience implementing agentic AI workflows using frameworks such as LangChain, LangFuse or Haystack, including prompt orchestration, tracing, evaluation and observability.
- Strong 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.

Career Development

When a project ends or you seek a new challenge, we will find another project that aligns with your professional development. Your work is supported by dedicated mentors and ongoing career planning, giving you the space to grow technically or to take on greater project influence.

Working Model

Hybrid: typically 2 days a week in the office, with a flexible 40‑hour workweek that accommodates personal commitments. We trust you to deliver quality work within the allotted hours.

Benefits

- Support for certifications and technical achievements up to €1,500.
- Private health insurance.
- Full coverage for sick leave.
- Free emotional, legal and family support.
- Gym discounts or sports compensation.
- Adaptable remuneration: meals, transport, childcare and more.
- Referral bonuses up to €6,000 per candidate and €5,000 per client.
- 23 working days of vacation.
- Free language courses: English, Spanish, Catalan and German.

Salary

We will discuss compensation during the first call.

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