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Anaplan

Cloud-based SaaS planning and performance management

GenAI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience, including at least 3 years focused on machine learning or artificial intelligence systems.
  • Strong Python programming skills and experience with PyTorch, TensorFlow, and Transformers.
  • Experience building and deploying large language model-powered applications in production.
  • Proficiency in front-end development with React, TypeScript, and modern web technologies.
  • Understanding of RESTful API design, microservices architecture, and cloud infrastructure.
  • Experience with prompt engineering and retrieval-augmented generation systems.
  • Strong foundation in machine learning fundamentals, including natural language processing, time-series analysis, or recommender systems.
  • Familiarity with Docker, Kubernetes, and continuous integration and continuous delivery pipelines.
  • Bachelor’s degree in computer science, Machine Learning, or a related field.

Responsibilities

  • Develop end-to-end generative AI features, including backend API services, model integration, model monitoring, evaluations, and deployments.
  • Integrate and optimize large language models for business-planning use cases, including prompt engineering and retrieval-augmented generation implementation.
  • Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language.
  • Implement evaluation frameworks to measure and improve feature quality, including accuracy, latency, and user-satisfaction metrics.
  • Design and develop APIs that expose AI capabilities to the platform and third-party integrations.
  • Optimize model inference pipelines for performance, cost, and scalability in production environments.
  • Implement monitoring, logging, and observability for generative AI systems to track usage, errors, and model behavior.
  • Collaborate with data scientists to productionize machine learning models and forecasting algorithms.
  • Write unit tests, integration tests, and prompt regression suites.
  • Participate in code reviews, technical design discussions, and knowledge-sharing sessions.
  • Evaluate new generative AI models and techniques for potential adoption.
  • Build conversational and agentic AI technologies and user-facing AI features for business planning and decision-making.

Desired Qualifications

  • Experience with generative AI frameworks such as LangChain, LlamaIndex, or Haystack.
  • Knowledge of vector databases such as Pinecone, Weaviate, or Qdrant, and embedding models.
  • Experience with model-serving frameworks such as vLLM, TensorRT, or Ray.
  • Background in forecasting, planning, or analytics applications.
  • Familiarity with Anaplan or similar enterprise planning platforms.
  • Experience with A/B testing and experimentation frameworks for AI features.
  • Contributions to open-source machine learning projects or research publications.
  • Experience with model observability tools such as LangSmith, W&B, or MLflow.

About the Company

Anaplan

Cloud-based SaaS planning and performance management

Anaplan provides a cloud-based SaaS platform for enterprise-wide planning and performance management that helps finance, supply chain, sales, marketing, and HR teams improve planning and decision making. Users connect data sources, build models and scenarios, run forecasts, and collaborate in real time within a scalable subscription model, with optional professional services for training and implementation. Unlike tools that tackle planning in silos, Anaplan offers a single connected platform that links data, people, and plans across multiple business functions. Its goal is to help organizations optimize operations and make data-driven decisions at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2006

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