Artificial Intelligence Researcher
Applied AI Engineer (GenAI & Vision)
Location: New York (Fully Remote)
Contract Role | Interviews Available ASAP
We are hiring an Applied AI Engineer to work on production-grade GenAI and computer vision systems focused on large-scale unstructured data processing. This is a fast-moving contract opportunity with immediate interview availability.
Responsibilities
⢠Design, develop, and deploy GenAI solutions using LLMs, embeddings, and retrieval-based architectures
⢠Build and improve computer vision and document intelligence pipelines for PDFs, images, and scanned documents
⢠Implement scalable data ingestion and content extraction workflows
⢠Deploy and manage machine learning models using AWS services including Lambda, ECS, Airflow, and S3
⢠Collaborate with engineering and product teams to solve complex AI problems
⢠Evaluate emerging AI technologies and integrate them into production systems
Requirements
⢠Proven experience in AI / machine learning with exposure to vision models
⢠Strong proficiency in Python
⢠Hands-on experience with GenAI frameworks such as OpenAI, Gemini, LangChain, or similar
⢠Experience deploying ML models in cloud-based production environments
⢠Ability to work independently in a fast-paced, startup-style environment
Nice to Have
⢠Experience working with unstructured data and document processing
⢠End-to-end ownership of models from experimentation to production
⢠Strong analytical and problem-solving skills
Hiring Process
Interviews are available immediately.
Apply today ā if your profile is a fit, I will call you directly and walk you through our screening process and interview steps.
Apply Now
Apply Now
Location: New York (Fully Remote)
Contract Role | Interviews Available ASAP
We are hiring an Applied AI Engineer to work on production-grade GenAI and computer vision systems focused on large-scale unstructured data processing. This is a fast-moving contract opportunity with immediate interview availability.
Responsibilities
⢠Design, develop, and deploy GenAI solutions using LLMs, embeddings, and retrieval-based architectures
⢠Build and improve computer vision and document intelligence pipelines for PDFs, images, and scanned documents
⢠Implement scalable data ingestion and content extraction workflows
⢠Deploy and manage machine learning models using AWS services including Lambda, ECS, Airflow, and S3
⢠Collaborate with engineering and product teams to solve complex AI problems
⢠Evaluate emerging AI technologies and integrate them into production systems
Requirements
⢠Proven experience in AI / machine learning with exposure to vision models
⢠Strong proficiency in Python
⢠Hands-on experience with GenAI frameworks such as OpenAI, Gemini, LangChain, or similar
⢠Experience deploying ML models in cloud-based production environments
⢠Ability to work independently in a fast-paced, startup-style environment
Nice to Have
⢠Experience working with unstructured data and document processing
⢠End-to-end ownership of models from experimentation to production
⢠Strong analytical and problem-solving skills
Hiring Process
Interviews are available immediately.
Apply today ā if your profile is a fit, I will call you directly and walk you through our screening process and interview steps.
Apply Now
Apply Now