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Jitterbit

Senior AI Engineer

Jitterbit

Senior AI Engineer responsible for building AI capabilities for Jitterbit's platform while collaborating with cross-functional teams. Develop scalable systems using various AI and cloud technologies.

Posted 6/25/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
ApacheAWSAzureCloudDockerElasticSearchETLJavaJenkinsKafkaKubernetesLinuxMicroservicesMongoDBMySQLNGINXPythonRedisSQLTensorflowTerraform

About the role

Key responsibilities & impact
  • Join our team and play a crucial role in building, designing, and architecting AI capabilities on our cutting-edge 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, and Kubernetes.
  • Create robust, scalable AI systems that run seamlessly 24/7/365.
  • Collaborate with other engineers, product management, and operations.

Requirements

What you’ll need
  • 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).

Benefits

Comp & perks
  • Career development and mentorship
  • A flexible, remote-friendly company with personality and heart

ATS Keywords

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Hard Skills & Tools
PythonJavaLLMRAGLangChainLlamaIndexNLPETLdata pipelinescloud-based architectures
Soft Skills
problem-solvingdebugginganalytical skillsattention to detailcollaboration