Applied AI Engineer (GenAI & Vision)

Coltech • United State
Remote
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AI Summary

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
GenAI solutions
Computer vision and document intelligence pipelines
Machine learning model deployment
Key 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
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
Technical Skills Required
Python LLMs Embeddings Retrieval-based architectures OpenAI Gemini LangChain AWS services (Lambda, ECS, Airflow, S3)
Benefits & Perks
Remote work
Contract role
Nice to Have
Experience working with unstructured data and document processing
End-to-end ownership of models from experimentation to production

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


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 — 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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