For Employers

Provectus

Senior AI Engineer – GenAI & Agentic Systems

Posted 2 months ago
5-10 years experience
Apply Now

Please mention DailyRemote when applying

?
Resume Match Score

See how much of this job your resume covers, and what’s missing.

Want a recruiter to go through it line by line?

Get professional review

Create a cover letter for this job

Upload your resume and we draft a letter for this exact role, tailored to what it asks for.

  • Tailored to this role
  • Based on your resume
  • Fully editable
AI Summary

Develop and optimize ML models from scratch while collaborating with cross-functional teams to deploy them into production. Establish experimentation roadmaps and maintain reproducible pipelines to ensure optimal model performance.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

 

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

 

Let's work together to build a better future for everyone!

\n


Requirements:
  • Comfortable with standard ML algorithms and underlying math.
  • Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
  • AWS Bedrock experience strongly preferred
  • Practical experience with solving classification and regression tasks in general, feature engineering.
  • Practical experience with ML models in production.
  • Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
  • Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
  • Python expertise, Docker.
  • English level - strong upper- intermediate.
  • Excellent communication and problem-solving skills.


Will be a plus:
  • Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
  • Practical experience with deep learning models.
  • Experience with taxonomies or ontologies.
  • Practical experience with machine learning pipelines to orchestrate complicated workflows.
  • Practical experience with Spark/Dask, Great Expectations.


Responsibilities:
  • Create ML models from scratch or improve existing models. 
  • Collaborate with the engineering team, data scientists, and product managers on production models.
  • Develop experimentation roadmap. 
  • Set up a reproducible experimentation environment and maintain experimentation pipelines.
  • Monitor and maintain ML models in production to ensure optimal performance.
  • Write clear and comprehensive documentation for ML models, processes, and pipelines.
  • Stay updated with the latest developments in ML and AI and propose innovative solutions.


\n

Automatically Apply to the Best Remote Jobs

Stop the endless job search. Our AI finds and applies to the best jobs for you.

Try it Now
Keep looking

Similar Jobs

See all Remote Software Development jobs →

Senior Network Engineer - Cloud Infrastructure & Zero Trust

Full Time Software Development

Senior AI Engineer (GenAI, Python, LLMs) - Sector Bancario

Full Time Software Development

Experienced Service Engineer

Full Time China Software Development

Intermediate Civil & Rail Engineer - Remote

Full Time United States Software Development

Service Engineer

Full Time China Software Development

Information Technology - Network Administrator - Full Time - Remote - (AK)

Full Time United States $44.13 - $66.2 per hour Software Development
Apply Now

Personalize your Remote Job Search in 3 Easy Steps!

Featuring 221,245+ Jobs in AI Engineer

Answer easy questions

Answer easy questions

221,245+ jobs across 15+ categories

Get your best job matches

Get your best job matches

Only hand-screened, legit jobs

Find a remote job faster

Find a remote job faster

No ads, scams, or junk

“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”

Sarah J. — Sarah J. · Marketing Manager ★★★★★ Verified