Sr AI Engineer(Fullstack)

Cyara; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Cyara in Hyderabad is seeking a senior AI & full-stack engineer to lead AI-powered product enhancements. You will design and implement solutions using AI/ML, generative AI, and NLP with Python, and integrate LLMs via APIs and microservices.

You will work with React on the frontend and Node.js on the backend, with PostgreSQL, AWS, Docker, and Kubernetes to build scalable enterprise applications. Strong focus on model evaluation, reliability, and responsible AI practices.

Qualifications

• 5+ years of strong exp in AI & Full stack (React +Node) environment.
• AI/ML & Generative AI Expertise
• Extensive professional experience in Machine Learning, Generative AI, and Natural Language Processing (NLP) with Python

Responsibilities

• 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

Skills

AI & Full stack

AI/ML & Generative AI

NLP with Python

LLMs integration

Model evaluation

Tools

React

NodeJS

PostgreSQL

SQL

AWS

Docker

Kubernetes

Job description

• 5+ years of strong exp in AI & Full stack (React +Node) 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:

• Fullstack Expertise
• 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