

Ket Software
AI Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Developer with a contract length of "unknown," offering a pay rate of "unknown." Located in Stamford, CT (Hybrid), it requires 3–5 years of AI development experience, proficiency in Python, and hands-on AWS services experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Stamford, CT
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Hugging Face #Deployment #Documentation #Scala #Computer Science #S3 (Amazon Simple Storage Service) #Python #Data Science #Security #Monitoring #API (Application Programming Interface) #Data Engineering #SQL (Structured Query Language) #PyTorch #Data Integration #Databases #TensorFlow #ML (Machine Learning) #NoSQL #Cloud #Data Pipeline #SageMaker #AWS (Amazon Web Services) #Lambda (AWS Lambda)
Role description
Job Title: AI Developer
Location: Stamford, CT (Hybrid), Remote fine for right candiate
About the Role:
The AI Developer will develop, and implement AI-based solutions that support client's 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.
Job Title: AI Developer
Location: Stamford, CT (Hybrid), Remote fine for right candiate
About the Role:
The AI Developer will develop, and implement AI-based solutions that support client's 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.






