Mid-Level AI/ML Engineer: LLM Apps & Data Pipelines Remote

Kr Labs; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote-first

Mentoring from senior engineers

AWS certification support

Job summary

Kr Labs is seeking an engineer to build practical AI and ML solutions for client projects. You will own delivery areas, combining Python data engineering with LLM-powered capabilities such as document processing and information retrieval.

You will implement data pipelines, LLM features, and retrieval components, plus deploy and operate services on AWS. Strong English communication and independent execution are essential.

Qualifications

• 2–4 years building and shipping software with Python, ideally with data or AI
• A relevant degree or strong portfolio of real projects/open-source work
• Experience cleaning, structuring, storing data, and building APIs around it
• Experience connecting language models to real data and validating answers
• Hands-on experience deploying and operating AWS services
• Professional English, clear communication and independent execution

Responsibilities

• Develop Python data-processing services and ETL pipelines for AI/ML workloads
• Implement LLM features such as RAG, conversational interfaces, summarization, and API automation (AWS Bedrock)
• Build and tune retrieval components and validate results
• Validate system behavior with accuracy checks and regression tests
• Deploy and operate services on AWS using Lambda, S3, API Gateway, Step Functions, ECS or Fargate
• Contribute to architecture and technical scoping, follow code review, testing, and documentation practices

Skills

Python development

Data engineering

LLM integration

AWS deployment

API design

Education

Bachelor's degree or equivalent

Tools

AWS Lambda

AWS S3

API Gateway

Step Functions

ECS / Fargate

Terraform / CDK

Job description

Kr Labs is seeking an engineer to build practical AI and ML solutions for client projects. You will own delivery areas, combining Python data engineering with LLM-powered capabilities such as document processing and information retrieval.

You will implement data pipelines, LLM features, and retrieval components, plus deploy and operate services on AWS. Strong English communication and independent execution are essential.