Jitterbit
iPaaS
AIEngineer
“AI Engineer at Jitterbit. Skills: AI, Python, Cloud-based distributed applications, SaaS applications. Build AI capabilities. Design AI capabilities”
What You'll Achieve.
Build reliable SaaS offering; Build stable SaaS offering; Build scalable SaaS offering; Deliver memorable user experience; Create exceptional experiences
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
10+ years of experience in building large-scale cloud-based distributed applications, 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)
Nice to Have
Mentoring and helping others to grow as engineers and developers, 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
What You'll Do.
Build AI capabilities
Design AI capabilities
Architect AI capabilities
Infuse AI vision into platform
Create robust AI systems
Create scalable AI systems
Run AI systems 24/7/365
Innovate with latest technologies
How You'll Work.
Team & Collaboration
Collaborate with other engineers; Collaborate with product management; Collaborate with operations; Collaborate with cross-functional teams
Communication Scope
Excellent written communication skills; Excellent verbal communication skills
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