Remote AI Engineer

Description:

• Jitterbit is seeking Senior backend engineers to join their AI team.
• The company is recognized in Gartner MQ for seven straight years as an iPaaS, LCAP, and API Management platform.
• The role involves building and creating a reliable, stable, and scalable SaaS offering for customers.
• The engineering team values high-quality code and aims to deliver an innovative and memorable user experience.
• As a key engineer, you will collaborate with other engineers, product management, and operations.
• The culture is fun, fast-paced, performance-oriented, open, and collegial, with a focus on effective remote work.
• The position requires building, designing, and architecting AI capabilities on the platform using various technologies.
• Technologies include LLM, RAG, Azure AI, AWS Bedrock, OpenAI, LangChain, LlamaIndex, Python, Java, Nginx, Tomcat, Kafka, Elasticsearch, InfluxDB, Redis, MySQL, Linux, C++, Apache, Docker, and Kubernetes.
• The mission is to create robust, scalable AI systems that run seamlessly 24/7/365.

Requirements:

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

Benefits:

• Employees will work for a growing leader within the Integration Platform as a Service (iPaaS) tech space.
• The company is mission-driven and is transforming the industry by changing how customers use API creation within business-critical processes.
• Career development and mentorship opportunities are provided.
• The company offers a flexible, remote-friendly work environment with personality and heart.