3 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Design and develop scalable AI-driven systems for conversational accuracy and user experience.
- Build and optimize real-time and asynchronous AI pipelines for performance, latency, and reliability.
- Develop backend services and APIs that integrate AI capabilities into distributed microservice architectures.
- Deploy and manage cloud-native microservices on AWS for high availability and resilience.
- Fine-tune and optimize large language models for inference efficiency and production readiness.
- Collaborate with researchers, data scientists, and engineers to bring AI innovations into production.
- Monitor, evaluate, and improve AI workflows and contribute to conversational AI, agentic systems, and NLP capabilities.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field with 3+ years of relevant industry experience, or a master's/Ph.D. with 1–2 years of relevant experience preferred.
- Proficiency in Python and experience with backend development.
- Understanding of software engineering principles, system architecture, and distributed computing.
- Experience with TensorFlow, PyTorch, Hugging Face, or similar AI/ML frameworks.
- Experience fine-tuning LLMs and understanding inference frameworks such as vLLM.
- Knowledge of API development, microservice architecture, and cloud platforms such as AWS, GCP, or Azure.
- Preferred experience building chatbots, voice assistants, or AI copilots; model deployment and optimization; and open-source AI contributions, research publications, or machine-learning patents.
Benefits
- Flexible-first work culture; the posting is tagged hybrid.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored programs for employees and families.
Tech Stack
Categories
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.