🤖 Ready to shape the future of conversational analytics in clinical operations? 🚀

Join our expert team to work on a clinical-operations data platform, contributing to the development of an enterprise-grade conversational analytics agent. You will apply your knowledge of Python, LLMs, Snowflake and AI Agents to build reliable, explainable and governed solutions that allow users to interact with data through natural language.

At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

How do we make this happen? 🤔

With people. Besides your team and manager, you will have several support figures like 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, who 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.

At ERNI, we highly value experience and technical knowledge. As 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.
And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.

What you will bring 🤝

• Production-level experience with Python and advanced SQL including analytical queries, window functions and performance optimisation.

• Advanced SQL expertise including analytical queries, window functions and performance optimization.

• Hands-on experience with prompt engineering, function calling and LLM agent architectures such as ReAct or plan-and-execute.

• Experience with Snowflake, data modelling and conversational analytics or text-to-SQL solutions.

• Experience orchestrating AI agents using LangGraph or comparable agent frameworks

• Experience with AI evaluation, observability and CI/CD practices for production-grade AI systems.

You will be responsible for designing and continuously improving a conversational analytics agent across natural-language understanding, SQL generation, execution and answer synthesis. You will implement agent orchestration, semantic-layer integration, security controls and responsible-AI guardrails while ensuring purpose-bound access to data. You will also establish evaluation and observability practices to monitor quality, latency, token consumption, errors and regression across verified use cases.

What if the project ends?😅

We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

Our working model 👩‍🔬

We 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!

You will also enjoy:

🎓 We cover your certifications and reward 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.
💳 Flexible remuneration: meals, transport, childcare, etc.
🤝 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.

And the salary? 💸

We will discuss it during the first call. If it is important to you, feel free to ask! 💬

WOULD YOU LIKE TO BECOME AN ERNIan? APPLY NOW! 🚀