Senior AI Engineer – GenAI & Agentic Systems

Provectus; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Provectus in the United States is seeking an ML Engineer to build and productionize AI/ML solutions. You will collaborate with engineers, data scientists, and product managers to create robust models and scalable pipelines.

Responsibilities include creating models from scratch or improving existing ones, designing experimentation roadmaps, and maintaining production systems. Strong Python and Docker skills, plus experience with LLMs, RAG, and cloud platforms, are highly valued.

Qualifications

• Comfortable with standard ML algorithms and underlying math.
• Hands-on experience with LLMs in production, RAG and agentic systems.
• AWS Bedrock experience strongly preferred.
• Experience with classification and regression tasks and feature engineering.
• ML models in production experience.
• Experience with NLP, LLMs, and recommendation engines.
• Solid software engineering practices.

Responsibilities

• Create ML models from scratch or improve existing models.
• Collaborate with engineering, 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.

Skills

ML algorithms

Production ML

Problem solving

Communication

Tools

Python

Docker

AWS Bedrock

Spark/Dask

Job description

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.

Asan ML Engineer, you'll beprovided with all opportunities for development and growth.

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

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.