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# AI Developer

- **Company:** Kanak Elite Services Inc
- **Location:** Greenwich, CT, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software Quality, Information Engineering, Data Integration, Python (Programming Language), Machine Learning, NoSQL, Cloud Services, Tensorflow, Search Technologies, Software Engineering, SQL Databases, Pinecone, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Information Technology, Amazon Bedrock, HuggingFace, Machine Learning Operations, FAISS, Api Gateway, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://www.thejobnetwork.com/job/b5a68e50-f0f9-4205-964f-6132ba5b4960/ai-developer

## About the Role

* 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.

## Description

* The AI Developer will develop, and implement AI-based solutions that support clients 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, * 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.