AI / Machine Learning Engineer
Remote / Hybrid · Remote
Full-time
Senior (4+ yrs)
$140k – $180k · Equity
Role Overview
Deploy LLM architectures, fine-tuned embedding pipelines, and deterministic automation agents.
About the Position
Join our AI research and deployment unit building deterministic knowledge graphs, custom neural workflows, and automated reasoning pipelines for corporate operations and predictive telemetry.
Key Responsibilities
• Design, benchmark, and deploy LLM applications, RAG pipelines, and vector database architectures.
• Fine-tune domain-specific models and build automated evaluation benchmarks.
• Build low-latency inference endpoints and optimize token economy.
• Collaborate with software engineers to integrate AI models into production microservices.
Candidate Requirements
• Degree in Computer Science, Applied Mathematics, or equivalent practical experience.
• 4+ years of software/ML experience with Python, PyTorch, LangChain, or HuggingFace.
• Production experience deploying vector databases (Qdrant, Pinecone, pgvector) and embedding systems.
• Deep understanding of prompt engineering, model quantization, and inference latency optimization.
Tech Stack & Core Tools
Python
PyTorch
RAG Pipelines
Vector DBs
LLM Agents
FastAPI
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Application Snapshot
Direct executive talent review
AI / Machine Learning Engineer
Department:
AI & Models
Location:
Remote / Hybrid
Employment:
Full-time
Experience:
Senior (4+ yrs)
Compensation:
$140k – $180k · Equity