AI Developer at Kutir Technologies | Torre

AI Developer

You'll engineer the future of enterprise AI with LLMs and AWS.
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Full-time

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Hybrid (100 First Stamford Pl #700, Stamford, CT 06902, USA)
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Posted 5 months ago

Requirements and responsibilities


About the Role The AI Developer will develop and implement AI-based solutions that support United Rentals’ digital and data initiatives. This 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. The developer 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 * Experience in building AI Agents is beneficial * 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 * At least 3 to 5 years of experience in software or AI development out of an overall 7 years of experience * 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
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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