Qiagen

Senior Machine Learning Engineer, NLP and LLMs

Cluj-Napoca

Actively hiring, first seen by us 2 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Develop, deploy, and maintain production LLM-integrated microservices using FastAPI
Integrate LLM APIs (OpenAI, Claude) with prompt engineering and RAG patterns
Balance accuracy, throughput, and operational cost across multi-model workflows
Improve NLP pipelines for entity recognition and relationship extraction
Build data transformations and ETL layers across biomedical data models

From the employer’s posting

Develop, deploy, and maintain production LLM-integrated microservices using FastAPI

Integrate LLM APIs (OpenAI, Claude) with prompt engineering and RAG patterns

Balance accuracy, throughput, and operational cost by designing multi-model workflows

Improve existing NLP pipelines for content acquisition (entity recognition, relationship extraction)

Build robust data transformations and ETL layers across heterogeneous biomedical data models

Benefits in the posting

Full benefits wording

Bonus/Commission
Local benefits
Referral Program
Volunteer Day
Employee Assistance Program

From the employer’s posting.

About Qiagen

QIAGEN Digital Insights (QDI) is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples.

In the employer’s words · Read in context

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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 11, 20262 days ago
Recorded sightings: 3
Last seen by us: Nov 13, 2026
Employer says posted: Sep 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 8 and day 76.

From 5,460 similar postings that came down. Coming down is not always a hire.

Qiagen is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Docker
FastAPI
Hugging Face

Where the posting names them

Your profile: - Proficiency in Python, including asynchronous patterns - Hands-on experience integrating LLM APIs (OpenAI, Claude, HuggingFace) into production systems

- Understanding of NLP concepts: tokenization, POS tagging, semantic/syntactic parsing - Building and deploying production microservices: FastAPI, Docker, async/await, understanding of token management and costs Nice to Have:

Your tasks: - Develop, deploy, and maintain production LLM-integrated microservices using FastAPI - Integrate LLM APIs (OpenAI, Claude) with prompt engineering and RAG patterns

- Proficiency in Python, including asynchronous patterns - Hands-on experience integrating LLM APIs (OpenAI, Claude, HuggingFace) into production systems - RAG (Retrieval-Augmented Generation) and vector embeddings

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Overview 

At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.

We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams.

We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

At QIAGEN, every day is an opportunity to make a real-life impact.

Join us, grow with us, and together, let's shape the future of biological discovery.

‎

About the opportunity

QIAGEN Digital Insights (QDI) is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that actually helps improve people's lives.

As a Senior Engineer, you will be part of a growing NLP team collaborating with a cross-functional team of scientists, bioinformaticians, knowledge engineers, and software engineers building powerful tools to gain biological insight into gene expression, variant association, and molecular interaction data. This is a dynamic opportunity for you to develop cutting edge methods, explore new technologies, and help us overcome novel technical challenges. You will apply expertise in NLP, ML, and software systems to design production services that scale across QIAGEN's product portfolio.

Your tasks:

Develop, deploy, and maintain production LLM-integrated microservices using FastAPI
Integrate LLM APIs (OpenAI, Claude) with prompt engineering and RAG patterns
Balance accuracy, throughput, and operational cost by designing multi-model workflows and applying fit-for-purpose reasoning levels for different task complexities
Build robust data transformations and ETL layers across heterogeneous biomedical data models
Improve existing NLP pipelines for content acquisition (entity recognition, relationship extraction)
Develop and validate machine learning models for biological literature processing
Contribute to quality control, reliability, and observability for production systems

Your profile:

Proficiency in Python, including asynchronous patterns
Hands-on experience integrating LLM APIs (OpenAI, Claude, HuggingFace) into production systems
RAG (Retrieval-Augmented Generation) and vector embeddings
Data API integration: REST, custom authentication patterns
Testing practices: unit tests, integration tests, error handling
3+ years of professional software engineering experience
Understanding of NLP concepts: tokenization, POS tagging, semantic/syntactic parsing
Building and deploying production microservices: FastAPI, Docker, async/await, understanding of token management and costs

Nice to Have:

MCP (Model Context Protocol) server development, or other protocol-driven system design
Familiarity with embeddings (Cross-Encoder, Bi-Encoder, sentence-transformers)
Experience with Named Entity Recognition (NER), Entity Linking, and Relation Extraction for biomedical concepts
Experience with biomedical language models (bi-encoders as well as cross-encoders) such as SapBERT, BioBERT, PubMedBERT, or SciBERT

What we offer 

Bonus/Commission

Local benefits

Referral Program

Volunteer Day

Internal Academy (QIALearn)

Employee Assistance Program

Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.  

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability. 

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