Remote ML Data Engineer for AI/LLM Pipelines

Félix; New York (NY); Remote; USD 140,000 - 220,000; Full time

Benefits offered by this job

Remote-First Company

Stock options

Annual performance bonus

Unlimited PTO

Parental leave

US 401(k) with match

Continuous learning

Growth opportunities

Job summary

Félix is hiring a highly technical Machine Learning Data Engineer to build data infrastructure for our LLMs and autonomous AI agents. You’ll own end-to-end data lifecycles, from telemetry to model training pipelines, ensuring diverse, high-quality datasets for continuous improvement.

You will collaborate with ML researchers and DevOps to deploy scalable pipelines, integrate CI/CD, and optimize RAG-enabled workflows, all within a fully remote US-based setup and future hybrid path.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 5+ years of professional experience in Data Engineering, ML Engineering, or MLOps.
• Expert-level Python and advanced SQL.
• Hands-on with LLM APIs (OpenAI, Anthropic) and open-source models (HuggingFace, Llama).
• Experience with synthetic data generation and validation.
• Strong data orchestration and cloud skills (GCP).

Responsibilities

• Design and maintain scalable automated data pipelines for LLM fine-tuning (SFT, RLHF, DPO).
• Develop telemetry and sampling systems to evaluate real-time LLM performance and latency.
• Architect scalable synthetic data generation workflows to augment training data.
• Implement data quality checks and toxicity filtering for model training pipelines.
• Collaborate with ML Researchers and DevOps to integrate pipelines with CI/CD for updates.
• Manage data flows into vector databases to support Retrieval-Augmented Generation.

Skills

Python

SQL

LLMs

Data Engineering

MLOps

Workflow Orchestration

Cloud (GCP)

Vector Databases

Education

Bachelor’s or Master’s in CS/DS/Engineering

Tools

LangChain

LlamaIndex

AutoGen

HuggingFace

Kafka

Flink

Kinesis

Pinecone

Milvus

Weaviate

Qdrant

Job description

Félix is hiring a highly technical Machine Learning Data Engineer to build data infrastructure for our LLMs and autonomous AI agents. You’ll own end-to-end data lifecycles, from telemetry to model training pipelines, ensuring diverse, high-quality datasets for continuous improvement.

You will collaborate with ML researchers and DevOps to deploy scalable pipelines, integrate CI/CD, and optimize RAG-enabled workflows, all within a fully remote US-based setup and future hybrid path.