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