Design, develop, and deploy GenAI solutions using LLMs, embeddings, and retrieval-based architectures. Implement scalable data ingestion and content extraction workflows. Collaborate with engineering and product teams to solve complex AI problems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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
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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
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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 — if your profile is a fit, I will call you directly and walk you through our screening process and interview steps.
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