Remote AI Engineer at Jitterbit

Description:

Jitterbit is seeking Senior backend engineers to join their AI team, focusing on building, designing, and architecting AI capabilities on their platform.
The company is recognized in Gartner MQ for seven consecutive years and offers a Low-code iPaaS, APIM, LCAP, and B2B platform to address business automation challenges.
The role involves creating a reliable, stable, and scalable SaaS offering for customers, with a focus on automating systems.
Engineers will collaborate with other team members, product management, and operations in a fun, fast-paced, and performance-oriented culture.
The position requires working with various technologies, including LLM, RAG, Azure AI, AWS Bedrock, OpenAI, LangChain, and more.
The mission is to develop robust, scalable AI systems that operate seamlessly 24/7/365.

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 essential.
Candidates should possess excellent problem-solving, debugging, and analytical skills with great attention to detail.
Experience with microservices and cloud-based architectures/design patterns is necessary.
Proficiency in English at the C1 level is required.
Technical skills include extensive experience in Python and Java, proficiency with NLP libraries, and hands-on experience with ETL processes and data warehousing solutions.
Familiarity with CI/CD pipelines, container orchestration tools, and security best practices in cloud applications is expected.

Employees will work for a growing leader in the iPaaS tech space, contributing to a mission-driven company transforming the industry.
The company offers career development and mentorship opportunities.
Jitterbit provides a flexible, remote-friendly work environment that values personality and heart.