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Mid-level metro GenAI/backend role with broad full-stack and ML requirements, increasing candidate competition.
Strong ML/backend specialization and enterprise planning context limits cross-industry transferability.
Multiple mandatory years and specific ML, backend, and frontend tech requirements raise shortlisting rigidity.
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Develop and deploy end-to-end GenAI features, including backend API services, model integration, monitoring, and conversational interfaces for business planning workflows.
Optimize LLM-powered applications with prompt engineering, RAG implementation, and scalable model inference pipelines in production environments.
Design APIs exposing AI capabilities to Anaplan's platform and third-party integrations while ensuring system observability and performance metrics evaluation.
5+ years of software engineering experience with at least 3 years focused on ML/AI systems.
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Transformers; experience building and deploying LLM applications in production.
Proficiency in front-end development using React, TypeScript, and modern web technologies; understanding of RESTful APIs, microservices, and cloud infrastructure.
Bachelor’s degree in Computer Science, Machine Learning, or related field.
Experienced full-stack ML engineer capable of leading development of GenAI-powered business planning features combining backend and frontend skills.
Proven track record in integrating and optimizing LLMs with prompt engineering and RAG systems for enterprise-scale applications.
Ability to design and maintain scalable, observable AI systems with knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.