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About the role
As a Senior Backend Engineer at Jitterbit, you will be joining the AI team of a leading data, application, and process workflow automation solution provider. Your primary challenge will be to contribute to building a reliable, stable, and scalable SaaS offering that automates critical business processes for our customers. Your role will involve designing, architecting, and coding to ensure the success of this mission. Key Responsibilities: - Collaborate with other engineers, product management, and operations to enhance the AI capabilities of our platform - Work with technologies such as LLM, RAG, Azure AI, AWS Bedrock, OpenAI, LangChain, and more to create robust and scalable AI systems - Infuse AI vision into our platform and contribute to our market-leading position Qualifications: - Mentor and help others grow as engineers and developers - Possess excellent written and verbal communication skills - Excel in a distributed, remote team environment - Demonstrate self-drive to work on key initiatives - Embrace a best-idea-wins approach and collaborate with cross-functional teams - Stay current with emerging trends and technologies in AI and cloud computing We are looking for candidates with: - 10+ years of experience in building large-scale cloud-based distributed applications - Strong expertise in building multi-tenant SaaS applications - Proficiency in AI technologies like 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 attention to detail - Experience with microservices, cloud-based architectures/design patterns, and English proficiency at the C1 level Technical Skills: - Extensive experience in Python and Java - Proficiency in NLP libraries and tools like spaCy, NLTK, Hugging Face Transformers - Skills in model deployment frameworks such as TensorFlow Serving, MLflow, Kubernetes-based deployments - Hands-on experience with ETL processes, data pipelines, and data warehousing solutions - Expertise with top-tier datastores like MongoDB, AWS DocumentDB, SQL Server, MySQL - Proficiency in Linux, Apache Tomcat, Nginx, AWS, Docker, Kubernetes, CI/CD pipelines, container orchestration tools, security best practices, and infrastructure as code tools Join us at Jitterbit to be part of an innovative team and make a significant impact on our AI-driven future! As a Senior Backend Engineer at Jitterbit, you will be joining the AI team of a leading data, application, and process workflow automation solution provider. Your primary challenge will be to contribute to building a reliable, stable, and scalable SaaS offering that automates critical business processes for our customers. Your role will involve designing, architecting, and coding to ensure the success of this mission. Key Responsibilities: - Collaborate with other engineers, product management, and operations to enhance the AI capabilities of our platform - Work with technologies such as LLM, RAG, Azure AI, AWS Bedrock, OpenAI, LangChain, and more to create robust and scalable AI systems - Infuse AI vision into our platform and contribute to our market-leading position Qualifications: - Mentor and help others grow as engineers and developers - Possess excellent written and verbal communication skills - Excel in a distributed, remote team environment - Demonstrate self-drive to work on key initiatives - Embrace a best-idea-wins approach and collaborate with cross-functional teams - Stay current with emerging trends and technologies in AI and cloud computing We are looking for candidates with: - 10+ years of experience in building large-scale cloud-based distributed applications - Strong expertise in building multi-tenant SaaS applications - Proficiency in AI technologies like 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 attention to detail - Experience with microservices, cloud-based architectures/design patterns, and English proficiency at the C1 level Technical Skills: - Extensive experience in Python and Java - Proficiency in NLP libraries and tools like spaCy, NLTK, Hugging Face Transformers - Skills in model deployment frameworks such as TensorFlow Serving, MLflow, Kubernetes-based deployments - Hands-on experience with ETL processes, data pipelines, and data warehousing solutions - Expertise with top-tier datastores like MongoDB, AWS DocumentDB, SQL Server, MySQL - Proficiency in Linux, Apache Tomcat, Nginx, AWS, Docker, Kubernetes, CI/CD pipelines, container orchestration tools, security best practices, and infrastructure as code tools Join us at Jitterbit to be part of an innovative team and make a significant impact on our AI-driven future!
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