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ML Engineer II

Job

Cynet Systems

Mason, OH (In Person)

$113,360 Salary, Full-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/11/2026

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Job Description

We are looking for ML Engineer II for our client in Mason, OH .
Job Title:
ML Engineer II Job Location:
Mason, OH Job Type:
Contract Job Overview:
Pay Range:
$52/hr - $57/hr
Requirement/Must Have:
10+ years of experience in end-to-end RAG architecture ownership (ingestion retrieval generation) & LLM orchestration. 8+ years of strong hands-on Python backend/data engineering experience. 6+ years of experience with OpenAI APIs (embeddings + chat + tools). 6+ years of experience with MongoDB Atlas Vector Search (hands-on), Aurora MySQL + DocumentDB integration. 6+ years of experience with API + async pipelines + CI/CD.
Responsibilities:
Own end-to-end architecture for ingestion, indexing, retrieval, and LLM orchestration (RAG). Lead implementation in Python (hands-on coding + design reviews + standards). Build and optimize data extraction pipelines from AWS Aurora MySQL and AWS DocumentDB. Design chunking/metadata strategy and indexing into MongoDB Atlas Vector Search. Integrate OpenAI for embeddings + generation. Implement MCP patterns for safe retrieval and extensible tooling.
Establish production readiness:
Observability, alerting, incident response runbooks.
Provide technical leadership:
Mentor engineers, set coding standards, conduct design/code reviews. Coordinate with product, data, and security stakeholders; manage technical roadmap. Nice to
Have:
Hybrid retrieval (keyword + vector), reranking, evaluation frameworks. Document parsing/OCR, table extraction, knowledge graph/entity resolution. AWS deployment experience (ECS/EKS/Lambda), VPC networking, IAM best practices.
Skills:
Strong experience with OpenAI APIs (embeddings + chat; tool/function calling patterns). Hands-on with
MongoDB Atlas Vector Search:
Index creation/tuning, schema design, metadata filtering. Strong integration experience with Aurora MySQL and DocumentDB.
API/service development:
FastAPI preferred; background jobs (Celery/RQ/SQS/Kafka).
Engineering excellence:
Docker, CI/CD, pytest, secure secrets, monitoring, performance tuning.
Qualification And Education:
Prior experience as Lead/Tech Lead owning architecture and delivery of production systems. Proven experience shipping RAG/LLM applications in production.