Engineer - Generative AI

• 3–5 years of experience in software engineering
• Strong hands-on development skills and exposure to system design
• Proficiency in Python for backend development
• Experience with frontend frameworks such as React, Angular, or equivalent
• Strong understanding of API design, middleware, and microservices architecture
• Hands-on experience with Generative AI technologies including LLMs, prompt engineering, RAG, and vector databases
• Experience working with AWS cloud infrastructure and building cloud-native applications
• Familiarity with MLOps practices and tools for model lifecycle management
• Working knowledge of observability and telemetry such as OpenTelemetry, Prometheus, Grafana, and CloudWatch
• Understanding of data storage and retrieval systems including relational, NoSQL, and vector databases

Responsibilities:

• Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs
• Build and maintain end-to-end solutions across backend, middleware, and frontend layers
• Develop scalable APIs and microservices to enable AI-driven capabilities across platforms
• Implement and operationalize LLM-based workflows including prompt orchestration, RAG pipelines, and agent frameworks
• Contribute to architecture design and system decomposition for scalability, resilience, and extensibility
• Build and manage cloud-native solutions on AWS using Lambda, ECS/EKS, S3, and API Gateway
• Establish and maintain MLOps practices including CI/CD pipelines, model deployment, versioning, and monitoring
• Implement observability and telemetry frameworks using logging, tracing, and metrics
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions
  • Continuously optimize performance, cost, and latency of AI workloads and services