AI Engineer

October 30

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Jitterbit

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SaaS • API • Artificial Intelligence

Jitterbit is a company providing a unified AI-infused low-code platform called Harmony for integration, orchestration, automation, and app development. Their platform helps streamline operations and accelerate business transformation by connecting applications, data, systems, and processes. Jitterbit offers an Integration Platform as a Service (iPaaS), API management, and capabilities for seamless integration with thousands of applications, including Salesforce Data Loader, EDI, ERP integration, and more. Their solutions cater to diverse roles such as IT, finance, human resources, and marketing, with use cases like asset tracking, employee expense management, and lead generation, among others.

201 - 500 employees

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

💰 Private Equity Round on 2020-11

📋 Description

• Join our team and play a crucial role in building, designing, and architecting AI capabilities on our cutting-edge platform. • Collaborate with other engineers, product management, and operations. • Create robust, scalable AI systems that run seamlessly 24/7/365. • Infuse our AI vision into our platform using various technologies.

🎯 Requirements

• 10+ years of experience in building large-scale cloud-based distributed applications • Strong experience in building multi-tenant SaaS applications • Expertise with AI technologies, including LLM models, RAG, LangChain, and LlamaIndex • Ability to design and develop scalable and robust AI-driven applications • Excellent problem-solving, debugging, and analytical skills with great attention to detail • Experience with microservices and cloud-based architectures/design patterns • Demonstrated proficiency in English at the C1 level • Extensive experience in Python and Java • Proficient with NLP libraries and tools (spaCy, NLTK, Hugging Face Transformers) • Skilled in model deployment frameworks (TensorFlow Serving, MLflow, Kubernetes-based deployments) • Hands on Experience with ETL processes, data pipelines, and data warehousing solutions • Expertise with top-tier datastores (MongoDB, AWS DocumentDB, SQL Server, MySQL) • Proficient in Linux • Experience with Apache Tomcat, Nginx, AWS, Docker, and Kubernetes • Familiarity with CI/CD pipelines and tools (Jenkins, GitLab CI, CircleCI) • Understanding of container orchestration tools and concepts • Knowledge of security best practices in cloud and distributed applications • Experience with infrastructure as code (IaC) tools (Terraform, CloudFormation)

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Remote work options