Remote ML Engineer — AI Systems & LLM Pipelines

Cogniify, Inc.; United States; Remote; USD 119,000 - 132,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Medical, dental, and vision coverage

Disability and life insurance

Mental health and wellbeing support

Employee stock purchase program

Team-building experiences

Mentorship opportunities

Entrepreneurial culture

Job summary

Cogniify, Inc. is hiring a Machine Learning Engineer (Remote, USA) to design and own AI systems, including model training pipelines, evaluation frameworks, and production tooling. You will collaborate with AI scientists, PMs, and designers to move ideas from proof of concept to scalable deployments.

The role focuses on long-term memory architectures, RAG evaluation, and AI-native product features, with opportunities to work on agent frameworks and generative AI within product experiences.

Qualifications

• BS, MS or higher in CS/ML or related field or equivalent practical experience.
• 5+ years building and deploying production AI/ML systems.
• Strong CS fundamentals: data structures, algorithms, system design, ML basics.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Pandas, NumPy).
• Hands-on with LLMs/Generative AI: prompt engineering, fine-tuning, RAG, LangChain.
• Experience with agent frameworks or long-term memory for AI apps.
• Cross-functional collaboration with data scientists, PMs, and engineers.

Responsibilities

• Design and own shared AI/ML components, pipelines, and frameworks used by multiple teams.
• Apply ML fundamentals and LLM techniques to solve real customer problems in production.
• Prototype agent builder frameworks and AI experiences inside the product.
• Run fast prototypes to move concepts from PoC to production-ready systems.
• Build end-to-end AI-native applications with backend services and API integrations.

Skills

Python

LLMs

Prompt engineering

RAG

LangChain

Agent frameworks

MLOps

Distributed systems

Education

Bachelor's degree in Computer Science / ML

Equivalent practical experience

Tools

PyTorch

TensorFlow

Pandas

NumPy

LangChain

Kubernetes

Job description

Cogniify, Inc. is hiring a Machine Learning Engineer (Remote, USA) to design and own AI systems, including model training pipelines, evaluation frameworks, and production tooling. You will collaborate with AI scientists, PMs, and designers to move ideas from proof of concept to scalable deployments.

The role focuses on long-term memory architectures, RAG evaluation, and AI-native product features, with opportunities to work on agent frameworks and generative AI within product experiences.