Senior AI Engineer

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Anaplan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🏢 Enterprise

💸 Finance

💰 Secondary Market on 2018-03

SaaS • Enterprise • Finance

Anaplan is a leading provider of connected planning and business modeling solutions. The platform enables organizations to transform their decision-making processes using intelligent planning, data management, and predictive insights. Anaplan serves a diverse range of industries, including consumer goods, financial services, and manufacturing, by offering tailored solutions that enhance productivity and drive digital transformation. Recognized by Gartner, Forrester, and IDC, Anaplan is a trusted partner for enterprises looking to improve collaboration and gain a competitive edge through agile and comprehensive planning tools.

📋 Description

• Contribute to the architecture and take ownership of the design, development, and deployment of scalable Generative AI and Machine Learning systems into production environments. • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation. • Build cutting-edge conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language. • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics. • Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations. • Optimize model inference pipelines for performance, cost, and scalability in production environments. • Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behavior. • Participate in code reviews, lead technical design discussions, and mentor junior and mid-level engineers.

🎯 Requirements

• Extensive hands-on experience in AI, ML, or related engineering fields. • End-to-end exposure in model lifecycle development, including demonstrated experience deploying and maintaining ML models in production environments. • Strong knowledge of LLM APIs, prompt engineering, and conversational AI patterns. • Experience in fine-tuning LLMs for domain-specific enterprise applications. • Experience with MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. • Worked with agentic frameworks and autonomous agent architectures. • Proficiency in Python and modern software development practices (testing, code review, CI/CD).

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events