
1001 - 5000 employees
Founded 2003
🤖 Artificial Intelligence
Artificial Intelligence • Automotive • Financial Services
intive is a company that crafts digital experiences through smart solutions for complex problems. With a presence in 14 countries and over 2,000 employees, intive offers technologically advanced solutions tailored for personalized experiences. The company specializes in a variety of areas including Artificial Intelligence, Cloud, Design, Embedded Software, Web & Mobile Solutions, and Quality Assurance. They have expertise in industries such as Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Media & Communication. Intive is recognized for its ability to blend different ecosystem parts to create seamless experiences, and it has received 13 design awards for its work.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2003
🤖 Artificial Intelligence
Artificial Intelligence • Automotive • Financial Services
intive is a company that crafts digital experiences through smart solutions for complex problems. With a presence in 14 countries and over 2,000 employees, intive offers technologically advanced solutions tailored for personalized experiences. The company specializes in a variety of areas including Artificial Intelligence, Cloud, Design, Embedded Software, Web & Mobile Solutions, and Quality Assurance. They have expertise in industries such as Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Media & Communication. Intive is recognized for its ability to blend different ecosystem parts to create seamless experiences, and it has received 13 design awards for its work.
• Design, build, and optimize large-scale search and retrieval platforms. • Develop backend services and APIs using Python frameworks such as FastAPI or Flask. • Build and maintain ETL and data ingestion pipelines. • Implement semantic search, vector search, KNN retrieval, and Retrieval-Augmented Generation (RAG) solutions. • Design and optimize retrieval strategies, including reranking, query decomposition, and document chunking. • Work across Python and Node.js/TypeScript ecosystems to deliver scalable backend solutions. • Develop and maintain asynchronous and event-driven ingestion pipelines using messaging and streaming technologies. • Manage and optimize OpenSearch/Elasticsearch clusters, indexes, mappings, and search performance. • Deploy, operate, and troubleshoot cloud-native solutions within AWS environments. • Monitor, debug, and optimize production systems to ensure reliability, scalability, and performance.
• 8+ years of backend engineering experience building distributed, high-performance systems. • Strong hands-on experience with Python for backend services and ETL/data pipelines. • Experience developing APIs and services using FastAPI and/or Flask. • Proven experience working within mixed Python and Node.js/TypeScript ecosystems. • Advanced expertise with OpenSearch and/or Elasticsearch, including mappings, sharding strategies, DSL queries, tokenizers/analyzers, and cluster management. • Experience implementing semantic search solutions, embeddings, vector search, KNN retrieval, and RAG architectures. • Hands-on experience with LlamaIndex or similar retrieval/RAG frameworks. • Ability to implement retrieval optimization techniques such as reranking, query decomposition, and document chunking strategies. • Solid experience with Node.js and TypeScript for backend and API integrations. • Strong AWS experience, including Lambda, ECS, Managed OpenSearch, and ALB/NLB. • Strong troubleshooting, debugging, and performance optimization skills in production environments. • Experience building asynchronous and event-driven ingestion pipelines using technologies such as SQS, Kafka, SNS, or RabbitMQ. • Experience with unit testing frameworks and validation strategies across JavaScript/TypeScript and Python-based systems.
• Career Path Planning – You can create a career path based on your goals. • We provide training, mentoring, and support to help you along the way • Training & Mentorship – Learning and Development is a big part of our company culture. • You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program. • Hubs – You will join the community of intivers sharing the same professional profile. • There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends. • Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. • We make sure everyone is noticed and feels connected to our mission and each other.
Apply Now🕒 Yesterday
Customer Delivery Engineer providing hands-on delivery, configuration, and support for DataXstream's OMS+ and IA products on SAP BTP. Engaging with customers for hybrid cloud deployments and ensuring seamless integration.
Cloud
🕒 May 12
Senior Agentic Engineer building AI-powered tools for operational efficiency at Webflow. Collaborating across Engineering, Product, and Design teams to drive automation and system integration.
🕒 April 30
Senior Node.js Engineer designing scalable microservices for Avenga, working with AWS and TypeScript to enhance productivity and quality.
AWS
DynamoDB
JavaScript
Microservices
Node.js
NoSQL
SQL
TypeScript
🕒 April 23
11 - 50
Azure Monitoring & Observability Engineer at RYZ Labs focusing on building Azure monitoring solutions. Responsible for implementing observability technologies and producing documentation.
Azure
Grafana
Python
Terraform
🕒 April 23
Audio Programmer developing and supporting audio systems within Unreal Engine for game development. Collaborating with teams to enhance the audio experience in high-quality AAA games.
Unreal Engine