Senior AI Engineer - Remote
Jitterbit
IndiaremotePosted 1 month ago
Skill Required
Senior-AI-EngineerAI-EngineeringBackend-EngineeringMachine-Learning-EngineeringCloud-EngineerRemote-Senior-AI-EngineerSenior-AI-EngineeringSenior-AI-Software-EngineerSenior-Software-AI-EngineerAI EngineerAIData WarehousingDesign PatternsAWSMicroservicesElasticsearchCD pipelinesLangChainSQL ServerEngineeringTensorFlowKubernetesanalyticalautomationGitHub ActionsTerraformdesigningdebuggingsecuritybuildingMongoDBJenkinswrittenMySQLPythonFulltime
Key highlights
- 10+ years of relevant experience required.
- Expertise with AI technologies such as LLMs, RAG, LangChain, and LlamaIndex.
- Career development and mentorship offered.
- Flexible, remote‑friendly work environment.
- Work for a leading iPaaS platform recognized in Gartner MQ.
- Proficiency in English at C1 level.
Role overview
Jitterbit is looking for senior backend engineers to join its AI team, where they will design, architect, and build AI capabilities on the company’s low‑code iPaaS, API Management, and LCAP platform. The role focuses on creating reliable, scalable SaaS AI systems, collaborating across product, engineering, and operations, and leveraging cutting‑edge technologies such as LLMs, RAG, and cloud services.
Responsibilities
- Build, design, and architect AI capabilities on Jitterbit’s platform.
- Create robust, scalable AI systems that operate continuously (24/7/365).
- Mentor and help other engineers and developers grow.
- Collaborate with engineers, product management, and operations.
- Collaborate with cross‑functional teams to define, design, and ship new features.
- Stay current with emerging trends and technologies in AI and cloud computing.
- Make data‑driven decisions.
- Exhibit self‑drive to work on key initiatives.
- Take pleasure in making things happen and listen to input from peers.
- Embrace a best‑idea‑wins approach regardless of source.
Requirements
- 10+ years of experience building large‑scale cloud‑based distributed applications.
- Strong experience 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.
- Excellent written and verbal communication skills.
- Ability to excel in a distributed, remote team environment.
- 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
- Experience with Kafka, Elasticsearch, InfluxDB, Redis, C++, and Apache.
- Experience with Azure AI, AWS Bedrock, and OpenAI.
- Ability to prototype rapidly using emerging AI frameworks.
- Familiarity with additional cloud platforms beyond AWS.
- Demonstrated track record of mentorship and coaching.
- Comfortable with a best‑idea‑wins collaborative culture.
Benefits
- Work for a growing leader within the Integration Platform as a Service (iPaaS) tech space.
- Join a mission‑driven company transforming how customers use API creation in business‑critical processes.
- Career development and mentorship opportunities.
- Flexible, remote‑friendly work environment with personality and heart.
Additional details
- Jitterbit is an iPaaS, LCAP, and API Management platform recognized in Gartner MQ for seven straight years.
- Customers utilize Low‑code iPaaS, APIM, LCAP, and B2B platform to address mission‑critical business automation challenges.
- The engineering team believes code quality reflects professional standards and is relentless about innovative, fast, robust user experiences.
- Company culture is fun, fast‑paced, performance‑oriented, open, and collegial; distributed and remote‑first.
- Jitterbit empowers business transformation by automating critical processes, combining integration, APIM, and no‑code app creation.
- Jitterbit is an Equal Opportunity Employer; employment decisions are made without regard to protected characteristics.
- Originally posted on Himalayas.