Senior Software Engineer - AI/ML

As an Senior Software Engineer in AI Team at Cendyn you will design build and deploy intelligent features that transform our hospitality technology products. You will own the complete implementation lifecyclefrom infrastructure and data pipelines through backend AI integration to responsive user interfacesdelivering production-ready AI capabilities that create measurable value for our customers.
NET Python) you will integrate large language models implement retrieval-augmented generation (RAG) systems and build scalable AI-powered APIs. As part of our AI Power Team initiative you will operate with significant autonomy driving AI adoption across Cendyns product portfolio while establishing best practices for enterprise AI development in the hospitality technology space.

AI Feature Development & Integration
Design and implement end-to-end AI features using LLMs (OpenAI Anthropic Azure OpenAI) integrated into existing Cendyn products across hospitality workflows.
Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone Weaviate pgvector) to ground AI responses in Cendyns proprietary data.
Develop prompt engineering strategies and implement systematic evaluation frameworks to ensure AI output quality reliability and business alignment
Create intelligent APIs and microservices that expose AI capabilities to internal teams and external integrations implementing proper rate limiting error handling and monitoring
Full Stack Development
Build responsive user interfaces using modern frameworks (React Angular) that surface AI capabilities through intuitive performant experiences
Develop backend services across our technology stack (.NET/C# Python) implementing business logic data processing and AI orchestration workflows
Design and maintain data pipelines that prepare transform and serve data to AI systems ensuring data quality and system reliability.
Infrastructure & DevOps
Stand up and configure cloud infrastructure (AWS Azure GCP) for AI workloads including compute storage networking and security components
Implement CI/CD pipelines for AI-powered applications using containerization (Docker Kubernetes) and infrastructure-as-code practices
Monitor system performance identify bottlenecks in AI inference pipelines and optimize for latency throughput and cost efficiency
Establish observability practices for AI systems including logging metrics tracing and alerting to ensure production reliability
Operate independently on AI initiatives with minimal guidance owning projects from concept through deployment and ongoing operational support
Collaborate with product managers designers and stakeholders to translate business requirements into technical AI solutions and realistic implementation plans
Contribute to the AI Power Team initiative by establishing best practices documenting patterns and mentoring team members on AI integration techniques
Conduct code reviews participate in architectural discussions and drive continuous improvement of development processes and technical standards
Stay current with AI/ML technologies frameworks and industry trends evaluating new tools and approaches for applicability to Cendyns products
Provide on-call production support as needed troubleshooting issues and implementing fixes across the full application stack

Education & Experience

• Bachelors degree in Computer Science Software Engineering or related technical field (or equivalent practical experience
• 3 years of professional software development experience with production systems
• 1 years of hands-on experience building AI-powered features or integrating LLMs into production applications
• Demonstrated ability to work independently on complex technical projects with minimal oversight

Programming & Development
Strong proficiency in at least two of: Python JavaScript/TypeScript C#/.NET with ability to work across the stack
Experience with modern frontend frameworks (React Angular) building responsive performant user interfaces
Backend development expertise including RESTful API design microservices architecture and database operations (SQL and NoSQL)
Solid understanding of software engineering fundamentals: data structures algorithms design patterns testing methodologies
AI & Machine Learning
Practical experience with LLM APIs (OpenAI Anthropic Azure OpenAI) including prompt engineering and output evaluation
Understanding of RAG architectures and experience with vector databases (Pinecone Weaviate Chroma pgvector)
Familiarity with AI orchestration frameworks (LangChain LlamaIndex Semantic Kernel) and their practical application
Knowledge of embedding models similarity search and context window management for LLM applications
DevOps & Infrastructure
Experience deploying applications to cloud platforms (AWS Azure or GCP) and managing cloud resources
Working knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying scalable services
Understanding of CI/CD pipelines automated testing and deployment automation practices
Ability to identify performance bottlenecks in distributed systems and implement optimization strategies
Basic understanding of system monitoring logging and observability tools (CloudWatch DataDog New Relic or similar)
Collaborative mindset with experience working in cross-functional teams
Continuous learning orientation with curiosity about emerging AI technologies and industry developments

Masters degree in Computer Science AI/ML or related field
Experience in hospitality technology SaaS platforms or CRM/marketing automation system
Background in machine learning fundamentals (model evaluation training pipelines feature engineering)
Familiarity with data engineering concepts (ETL processes data warehousing stream processing)
Experience with infrastructure-as-code tools (Terraform CloudFormation Pulumi)
Knowledge of AI safety responsible AI practices and prompt injection prevention techniques
Contributions to open-source projects or technical writing demonstrating AI/ML expertise
Experience with A/B testing feature flags and gradual rollout strategies for production features
Understanding of SQL Server PostgreSQL MongoDB and other database technologies in Cendyns stack

Languages: Python JavaScript/TypeScript C#/.NET SQL
Frontend: React Angular HTML/CSS modern JavaScript tooling
Backend: .NET/C# Express Python frameworks (FastAPI Flask)
AI/ML: OpenAI Anthropic Claude Azure OpenAI LangChain LlamaIndex vector databases (Pinecone Weaviate pgvector)
Databases: SQL Server PostgreSQL MongoDB Redis
Cloud & DevOps: AWS/Azure/GCP Docker Kubernetes CI/CD pipelines Git
Monitoring: Application monitoring logging frameworks observability platforms

Monday through Friday from 12 PM to 9 PM IST to provide healthy overlap between India team and US team and supporting both to ensure adequate collaboration. This role will be working in Hybrid Mode and will require at least 2 days work from office at Hyderabad. Occasional evening and weekend work may be expected in case of job-related emergencies or client needs.

Cendyn provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability or addition to federal law requirements Cendyn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Cendyn expressly prohibits any form of workplace harassment based on race color religion gender sexual orientation gender identity or expression national origin age genetic information disability or veteran status. Required Experience: