AI Engineer

Aldren
Spain
about 2 months ago
Apply on www.jobleads.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automated Storage and Retrieval Systems Unstructured Data

Job description

You’ll be an early engineer at Aldren, working directly with the founding team to build AI that handles some of the most complex, high-stakes document workflows in pharma and biotech. You’ll own AI systems end to end, from retrieval architecture for structured and unstructured data to production evals, and have real influence over how the product takes shape.

Requirements

  • Demonstrated experience shipping LLM systems to production
  • Strong opinions on how to build effective retrieval systems and reasoning agents
  • Hands-on experience with evals, guardrails, and reliability infrastructure for high-stakes, accuracy-critical environments
  • Ability to own a system end-to-end
  • Product intuition and genuine curiosity about hard domains with legacy technology
  • Experience in Pharma / Biotech is a plus but, curiosity is more important, Work with a lean team with deep experience in Pharma, AI, and building from 0 to 1. You will have a high level of ownership from day one and shape both the product and the business.

Benefits & conditions

  • Architect and build agentic systems that reason through complex, multi-step document workflows
  • Develop retrieval infrastructure over long, structurally complex documents spanning thousands of pages
  • Own the eval and trust layer - benchmarks, hallucination detection, regression testing
  • Work directly with customers to understand the problem firsthand and close the feedback loop fast

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:32 min

Structured versus unstructured data domains in machine learning

Ekaterina Sirazitdinova · World Congress 2022

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

1:45 min

Utilizing deep learning for unstructured data retrieval

Han Xiao · World Congress 2022

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all