Senior AI Engineer

Role Description

Jitterbit is seeking Senior backend engineers to join our AI team. Jitterbit is an iPaaS (Integration as a Service), LCAP, and API Management platform which has been recognized in Gartner MQ for seven straight years. Our customers utilize our Low-code iPaaS, APIM, LCAP, and B2B platform to address mission-critical business automation challenges. What is our challenge? To make it easy to automate our customers’ systems. In order to do this, we need to build and create a SaaS offering that is reliable, stable, and scalable for our customers. Do you have the design, architecting, and code-writing capabilities to take on this challenge? And can succeed in a big way?

Join our team and play a crucial role in building, designing, and architecting AI capabilities on our cutting-edge platform. We seek a talented Senior AI Engineer to infuse our AI vision into our platform. You'll work with various technologies, including:

• LLM
• RAG
• Azure AI
• AWS Bedrock
• OpenAI
• LangChain
• LlamaIndex
• Python
• Java
• Nginx
• Tomcat
• Kafka
• Elasticsearch
• InfluxDB
• Redis
• MySQL
• Linux
• C++
• Apache
• Docker
• Kubernetes

Your mission will be to create robust, scalable AI systems that run seamlessly 24/7/365. This is a unique opportunity to innovate with the latest technologies and contribute to our market-leading position.

Qualifications

• 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)

Requirements

• Mentoring and helping others to grow as engineers and developers
• Excellent written and verbal communication skills
• Ability to excel in a distributed, remote team environment
• Self-drive to work on key initiatives
• Take pleasure in making things happen and listen to the input from peers
• Data-driven decision-making skills
• Embracing a best-idea-wins approach, regardless of the source
• Collaboration with cross-functional teams to define, design, and ship new features
• Staying current with emerging trends and technologies in AI and cloud computing

Benefits

• Work for a growing leader within the Integration Platform as a Service (iPaaS) tech space
• Join a mission-driven company that is transforming the industry by changing the way customers use API creation within business-critical processes
• Career development and mentorship
• A flexible, remote-friendly company with personality and heart