PDSSOFT INC.
AWS Engineer with AI- NO C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Engineer with AI expertise, based in Secaucus, NJ. The contract length is unspecified, with a pay rate of "unknown." Key skills include AWS, AI integration, chatbot development, and experience with Generative AI models.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Corp-to-Corp (C2C)
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🔒 - Security
Unknown
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📍 - Location detailed
Secaucus, NJ
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🧠 - Skills detailed
#AWS Lambda #API (Application Programming Interface) #DynamoDB #ML (Machine Learning) #AWS (Amazon Web Services) #DevOps #AI (Artificial Intelligence) #Scala #S3 (Amazon Simple Storage Service) #Cloud #SageMaker #Lambda (AWS Lambda) #Data Engineering #NLP (Natural Language Processing)
Role description
AI Engineer (AWS)
Location: Seacaucus, NJ
Job Summary:
We are seeking an experienced AWS Developer with strong expertise in AI integration, chatbot development, and cloud-native architecture. The role involves designing and implementing scalable cloud-based AI solutions, building intelligent chatbots, and integrating them into enterprise systems using AWS services.
Key Responsibilities:
• Design, develop, and deploy AI-driven applications and chatbots using AWS cloud services.
• Integrate Generative AI / LLM models (e.g., Amazon Bedrock, SageMaker, OpenAI, Anthropic) into customer-facing solutions.
• Build and manage serverless architectures using AWS Lambda, API Gateway, DynamoDB, and S3.
• Implement AWS Lex, Polly, Comprehend, and Bedrock for natural language processing and voice-based chatbot interactions.
• Develop and maintain CI/CD pipelines for deploying AI services and chatbots.
• Collaborate with data engineers, ML engineers, and DevOps teams to ensure scalable and secure AI integrations.
AI Engineer (AWS)
Location: Seacaucus, NJ
Job Summary:
We are seeking an experienced AWS Developer with strong expertise in AI integration, chatbot development, and cloud-native architecture. The role involves designing and implementing scalable cloud-based AI solutions, building intelligent chatbots, and integrating them into enterprise systems using AWS services.
Key Responsibilities:
• Design, develop, and deploy AI-driven applications and chatbots using AWS cloud services.
• Integrate Generative AI / LLM models (e.g., Amazon Bedrock, SageMaker, OpenAI, Anthropic) into customer-facing solutions.
• Build and manage serverless architectures using AWS Lambda, API Gateway, DynamoDB, and S3.
• Implement AWS Lex, Polly, Comprehend, and Bedrock for natural language processing and voice-based chatbot interactions.
• Develop and maintain CI/CD pipelines for deploying AI services and chatbots.
• Collaborate with data engineers, ML engineers, and DevOps teams to ensure scalable and secure AI integrations.
