Sr. AI Engineer (Fullstack)
HyderabadOn-site
AI Summary
Sr. AI Engineer (Fullstack) at Cyara: designs, builds, and evaluates AI-powered customer experience solutions, integrating LLMs, RAG, and ML/NLP models for trust and compliance across voice and digital channels.
About this role
As the global leader in AI-powered customer experience assurance, we help some of the world's most recognized brands deliver seamless, reliable, and engaging interactions across voice, digital, messaging, and AI-powered channels. Every year, our platform helps optimize hundreds of millions of customer journeys, ensuring businesses can confidently deliver exceptional experiences at scale.
As enterprises race to deploy agentic AI, the defining question is no longer whether AI can handle customer interactions, it’s whether those interactions can be trusted. Cyara is the confidence layer that answers that question, testing AI agents with AI agents to detect hallucinations, validate decisions, and ensure compliance before failures ever reach your customers.
Joining Cyara means helping shape the future of customer experience, partnering with some of the world’s biggest brands, and working alongside passionate, talented people who are committed to making every customer interaction better.
Primary Skills:
- 5+ years of strong exp 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:
- 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
Skills
AI TrustworthinessAWSDockerGenerative AIKubernetesLarge Language ModelsMachine LearningModel EvaluationNatural Language ProcessingNode.jsPostgreSQLPrompt EngineeringPythonRAGReactSQL
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