AI Developer Lead @ Stamford, CT (Hybrid)

  • Stamford, CT
  • Posted 13 hours ago | Updated 13 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6+ month(s)

Skills

Python
aws

Job Details

Hi,

Please check the job description as below and let me know you if you would be interested and available. Please let me know your available time for a quick call.

Job Title: AI Developer Lead

Location: Stamford, CT (Hybrid)

About the Role

The AI Developer will develop, and implement AI-based solutions that support United Rentals' digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.

You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems.

Key Responsibilities

Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
Good to have experience on building AI Agents.
Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
Work closely with cross-functional teams to integrate AI components into applications and workflows.
Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
Maintain code quality, documentation, and adherence to security and scalability standards.
Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering or related field.
3 5 years of experience in software or AI development.
Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
Understanding of SQL/NoSQL databases and data integration techniques.
Strong problem-solving and communication skills.


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Thanks & Regards.

Isaac Rajiv

Kutir Corporation

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