Sr. AI Engineer (Fullstack)

Company Overview

Primary Skills

• 5+ years of strong experience in AI & Full stack environment
• AI/ML & Generative AI expertise
• Extensive professional experience in Machine Learning, Generative AI, and Natural Language Processing (NLP) with Python
• Proven, hands-on experience designing and implementing solutions using LLMs (e.g., RAG systems, fine-tuning, prompt engineering)
• Deep understanding of ML and LLM/NLP evaluation techniques (e.g., precision, recall, F1 and metrics for assessing hallucination, relevance, and context)
• Demonstrable experience integrating AI/ML models into applications via APIs, microservices, and other integration patterns
• Experience analyzing and benchmarking model performance across multiple datasets and use cases
• Strong understanding of AI trustworthiness principles, including model accuracy, interpretability, robustness, and responsible AI practices

Secondary Skills

• Extensive professional experience in full-stack development
• Strong proficiency in backend development with NodeJS
• Strong proficiency in front-end development with React
• Deep experience with database design and management, specifically Postgres and general SQL
• Proven experience with cloud platforms, specifically AWS (e.g., EC2, S3, Lambda, RDS, Bedrock, SageMaker)
• Proven track record in designing and maintaining enterprise-grade, scalable web applications
• Experience with containerization (Docker, Kubernetes)
• Good to have skills - AI Agents, Agentic AI, MCP

Why Join Us

• Competitive pay, comprehensive benefits, flexible work options, recognition programs, and a strong focus on employee well-being
• A global team that values curiosity, collaboration, and continuous learning
• A culture of inclusivity where everyone feels seen, heard, and empowered to contribute

Company Culture

Application Notes

• Cyara uses AI tools to support parts of the hiring process, such as reviewing applications and analyzing resumes; final hiring decisions are made by humans.
• Agencies must have a valid fee agreement and be assigned the specific requisition before submitting CVs via the Cyara Agency Portal.

Responsibilities

• Design and implement AI/ML solutions using LLMs, RAG systems, fine-tuning, and prompt engineering
• Integrate AI/ML models into applications via APIs, microservices, and other integration patterns
• Analyze and benchmark model performance across multiple datasets and use cases
• Apply ML and LLM/NLP evaluation techniques to assess hallucination, relevance, and context
• Develop full-stack applications with NodeJS backend and React frontend
• Design and manage databases using Postgres and SQL
• Build and maintain enterprise-grade, scalable web applications
• Work with cloud platforms such as AWS (EC2, S3, Lambda, RDS, Bedrock, SageMaker)
• Use containerization technologies including Docker and Kubernetes
• Apply AI trustworthiness principles including model accuracy, interpretability, robustness, and responsible AI practices

Requirements

• 5+ years of strong experience in AI & Full stack environment
• Extensive professional experience in Machine Learning, Generative AI, and Natural Language Processing (NLP) with Python
• Proven, hands-on experience designing and implementing solutions using LLMs (e.g., RAG systems, fine-tuning, prompt engineering)
• Deep understanding of ML and LLM/NLP evaluation techniques (e.g., precision, recall, F1 and metrics for assessing hallucination, relevance, and context)
• Demonstrable experience integrating AI/ML models into applications via APIs, microservices, and other integration patterns
• Experience analyzing and benchmarking model performance across multiple datasets and use cases
• Strong understanding of AI trustworthiness principles, including model accuracy, interpretability, robustness, and responsible AI practices
• Extensive professional experience in full-stack development
• Strong proficiency in backend development with NodeJS
• Strong proficiency in front-end development with React
• Deep experience with database design and management, specifically Postgres and general SQL
• Proven experience with cloud platforms, specifically AWS (e.g., EC2, S3, Lambda, RDS, Bedrock, SageMaker)